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3,063 results on '"Cheng, Ching Yu"'

1. Col-Con: A Virtual Reality Simulation Testbed for Exploring Collaborative Behaviors in Construction

Author: Yu, Liuchuan, Cheng, Ching-Yu, Ranc, William F, Dow, Joshua, Szilagyi, Michael, Huang, Haikun, Hong, Sungsoo Ray, Esmaeili, Behzad, and Yu, Lap-Fai
Subjects: Computer Science - Human-Computer Interaction
Abstract: Virtual reality is widely adopted for applications such as training, education, and collaboration. The construction industry, known for its complex projects and numerous personnel involved, relies heavily on effective collaboration. Setting up a real-world construction site for experiments can be expensive and time-consuming, whereas conducting experiments in VR is relatively low-cost, scalable, and efficient. We propose Col-Con, a virtual reality simulation testbed for exploring collaborative behaviors in construction. Col-Con is a multi-user testbed that supports users in completing tasks collaboratively. Additionally, Col-Con provides immersive and realistic simulated construction scenes, where real-time voice communication, along with synchronized transformations, animations, sounds, and interactions, enhances the collaborative experience. As a showcase, we implemented a pipe installation construction task based on Col-Con. A user study demonstrated that Col-Con excels in usability, and participants reported a strong sense of immersion and collaboration. We envision that Col-Con will facilitate research on exploring virtual reality-based collaborative behaviors in construction.
Published: 2024

2. Enhancing Community Vision Screening -- AI Driven Retinal Photography for Early Disease Detection and Patient Trust

Author: Lei, Xiaofeng, Tham, Yih-Chung, Goh, Jocelyn Hui Lin, Feng, Yangqin, Bai, Yang, Da Soh, Zhi, Goh, Rick Siow Mong, Xu, Xinxing, Liu, Yong, and Cheng, Ching-Yu
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract: Community vision screening plays a crucial role in identifying individuals with vision loss and preventing avoidable blindness, particularly in rural communities where access to eye care services is limited. Currently, there is a pressing need for a simple and efficient process to screen and refer individuals with significant eye disease-related vision loss to tertiary eye care centers for further care. An ideal solution should seamlessly and readily integrate with existing workflows, providing comprehensive initial screening results to service providers, thereby enabling precise patient referrals for timely treatment. This paper introduces the Enhancing Community Vision Screening (ECVS) solution, which addresses the aforementioned concerns with a novel and feasible solution based on simple, non-invasive retinal photography for the detection of pathology-based visual impairment. Our study employs four distinct deep learning models: RETinal photo Quality Assessment (RETQA), Pathology Visual Impairment detection (PVI), Eye Disease Diagnosis (EDD) and Visualization of Lesion Regions of the eye (VLR). We conducted experiments on over 10 datasets, totaling more than 80,000 fundus photos collected from various sources. The models integrated into ECVS achieved impressive AUC scores of 0.98 for RETQA, 0.95 for PVI, and 0.90 for EDD, along with a DICE coefficient of 0.48 for VLR. These results underscore the promising capabilities of ECVS as a straightforward and scalable method for community-based vision screening., Comment: 11 pages, 4 figures, published in MICCAI2024 OMIA XI workshop
Published: 2024

3. Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning

Author: Chen, Qingyu, Keenan, Tiarnan D L, Agron, Elvira, Allot, Alexis, Guan, Emily, Duong, Bryant, Elsawy, Amr, Hou, Benjamin, Xue, Cancan, Bhandari, Sanjeeb, Broadhead, Geoffrey, Cousineau-Krieger, Chantal, Davis, Ellen, Gensheimer, William G, Grasic, David, Gupta, Seema, Haddock, Luis, Konstantinou, Eleni, Lamba, Tania, Maiberger, Michele, Mantopoulos, Dimosthenis, Mehta, Mitul C, Nahri, Ayman G, AL-Nawaflh, Mutaz, Oshinsky, Arnold, Powell, Brittany E, Purt, Boonkit, Shin, Soo, Stiefel, Hillary, Thavikulwat, Alisa T, Wroblewski, Keith James, Chung, Tham Yih, Cheung, Chui Ming Gemmy, Cheng, Ching-Yu, Chew, Emily Y, Hribar, Michelle R., Chiang, Michael F., and Lu, Zhiyong
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract: Timely disease diagnosis is challenging due to increasing disease burdens and limited clinician availability. AI shows promise in diagnosis accuracy but faces real-world application issues due to insufficient validation in clinical workflows and diverse populations. This study addresses gaps in medical AI downstream accountability through a case study on age-related macular degeneration (AMD) diagnosis and severity classification. We designed and implemented an AI-assisted diagnostic workflow for AMD, comparing diagnostic performance with and without AI assistance among 24 clinicians from 12 institutions with real patient data sampled from the Age-Related Eye Disease Study (AREDS). Additionally, we demonstrated continual enhancement of an existing AI model by incorporating approximately 40,000 additional medical images (named AREDS2 dataset). The improved model was then systematically evaluated using both AREDS and AREDS2 test sets, as well as an external test set from Singapore. AI assistance markedly enhanced diagnostic accuracy and classification for 23 out of 24 clinicians, with the average F1-score increasing by 20% from 37.71 (Manual) to 45.52 (Manual + AI) (P-value < 0.0001), achieving an improvement of over 50% in some cases. In terms of efficiency, AI assistance reduced diagnostic times for 17 out of the 19 clinicians tracked, with time savings of up to 40%. Furthermore, a model equipped with continual learning showed robust performance across three independent datasets, recording a 29% increase in accuracy, and elevating the F1-score from 42 to 54 in the Singapore population.
Published: 2024

4. Safety challenges of AI in medicine

Author: Wang, Xiaoye, Zhang, Nicole Xi, He, Hongyu, Nguyen, Trang, Yu, Kun-Hsing, Deng, Hao, Brandt, Cynthia, Bitterman, Danielle S., Pan, Ling, Cheng, Ching-Yu, Zou, James, and Liu, Dianbo
Subjects: Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract: Recent advancements in artificial intelligence (AI), particularly in deep learning and large language models (LLMs), have accelerated their integration into medicine. However, these developments have also raised public concerns about the safe application of AI. In healthcare, these concerns are especially pertinent, as the ethical and secure deployment of AI is crucial for protecting patient health and privacy. This review examines potential risks in AI practices that may compromise safety in medicine, including reduced performance across diverse populations, inconsistent operational stability, the need for high-quality data for effective model tuning, and the risk of data breaches during model development and deployment. For medical practitioners, patients, and researchers, LLMs provide a convenient way to interact with AI and data through language. However, their emergence has also amplified safety concerns, particularly due to issues like hallucination. Second part of this article explores safety issues specific to LLMs in medical contexts, including limitations in processing complex logic, challenges in aligning AI objectives with human values, the illusion of understanding, and concerns about diversity. Thoughtful development of safe AI could accelerate its adoption in real-world medical settings.
Published: 2024

5. UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling

Author: Yu, Kai, Zhou, Yang, Bai, Yang, Da Soh, Zhi, Xu, Xinxing, Goh, Rick Siow Mong, Cheng, Ching-Yu, and Liu, Yong
Subjects: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract: Retinal foundation models aim to learn generalizable representations from diverse retinal images, facilitating label-efficient model adaptation across various ophthalmic tasks. Despite their success, current retinal foundation models are generally restricted to a single imaging modality, such as Color Fundus Photography (CFP) or Optical Coherence Tomography (OCT), limiting their versatility. Moreover, these models may struggle to fully leverage expert annotations and overlook the valuable domain knowledge essential for domain-specific representation learning. To overcome these limitations, we introduce UrFound, a retinal foundation model designed to learn universal representations from both multimodal retinal images and domain knowledge. UrFound is equipped with a modality-agnostic image encoder and accepts either CFP or OCT images as inputs. To integrate domain knowledge into representation learning, we encode expert annotation in text supervision and propose a knowledge-guided masked modeling strategy for model pre-training. It involves reconstructing randomly masked patches of retinal images while predicting masked text tokens conditioned on the corresponding retinal image. This approach aligns multimodal images and textual expert annotations within a unified latent space, facilitating generalizable and domain-specific representation learning. Experimental results demonstrate that UrFound exhibits strong generalization ability and data efficiency when adapting to various tasks in retinal image analysis. By training on ~180k retinal images, UrFound significantly outperforms the state-of-the-art retinal foundation model trained on up to 1.6 million unlabelled images across 8 public retinal datasets. Our code and data are available at https://github.com/yukkai/UrFound.
Published: 2024

6. Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases

Author: Wang, Meng, Lin, Tian, Lin, Aidi, Yu, Kai, Peng, Yuanyuan, Wang, Lianyu, Chen, Cheng, Zou, Ke, Liang, Huiyu, Chen, Man, Yao, Xue, Zhang, Meiqin, Huang, Binwei, Zheng, Chaoxin, Zhang, Peixin, Chen, Wei, Luo, Yilong, Chen, Yifan, Xia, Honghe, Shi, Tingkun, Zhang, Qi, Guo, Jinming, Chen, Xiaolin, Wang, Jingcheng, Tham, Yih Chung, Liu, Dianbo, Wong, Wendy, Thakur, Sahil, Fenner, Beau, Fang, Danqi, Liu, Siying, Liu, Qingyun, Huang, Yuqiang, Zeng, Hongqiang, Meng, Yanda, Zhou, Yukun, Jiang, Zehua, Qiu, Minghui, Zhang, Changqing, Chen, Xinjian, Wang, Sophia Y, Lee, Cecilia S, Sobrin, Lucia, Cheung, Carol Y, Pang, Chi Pui, Keane, Pearse A, Cheng, Ching-Yu, Chen, Haoyu, and Fu, Huazhu
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract: Previous foundation models for retinal images were pre-trained with limited disease categories and knowledge base. Here we introduce RetiZero, a vision-language foundation model that leverages knowledge from over 400 fundus diseases. To RetiZero's pre-training, we compiled 341,896 fundus images paired with text descriptions, sourced from public datasets, ophthalmic literature, and online resources, encompassing a diverse range of diseases across multiple ethnicities and countries. RetiZero exhibits superior performance in several downstream tasks, including zero-shot disease recognition, image-to-image retrieval, and internal- and cross-domain disease identification. In zero-shot scenarios, RetiZero achieves Top5 accuracy scores of 0.8430 for 15 fundus diseases and 0.7561 for 52 fundus diseases. For image retrieval, it achieves Top5 scores of 0.9500 and 0.8860 for the same disease sets, respectively. Clinical evaluations show that RetiZero's Top3 zero-shot performance surpasses the average of 19 ophthalmologists from Singapore, China and the United States. Furthermore, RetiZero significantly enhances clinicians' accuracy in diagnosing fundus disease. These findings underscore the value of integrating the RetiZero foundation model into clinical settings, where a variety of fundus diseases are encountered.
Published: 2024

7. Integrated image-based deep learning and language models for primary diabetes care

Author: Li, Jiajia, Guan, Zhouyu, Wang, Jing, Cheung, Carol Y., Zheng, Yingfeng, Lim, Lee-Ling, Lim, Cynthia Ciwei, Ruamviboonsuk, Paisan, Raman, Rajiv, Corsino, Leonor, Echouffo-Tcheugui, Justin B., Luk, Andrea O. Y., Chen, Li Jia, Sun, Xiaodong, Hamzah, Haslina, Wu, Qiang, Wang, Xiangning, Liu, Ruhan, Wang, Ya Xing, Chen, Tingli, Zhang, Xiao, Yang, Xiaolong, Yin, Jun, Wan, Jing, Du, Wei, Quek, Ten Cheer, Goh, Jocelyn Hui Lin, Yang, Dawei, Hu, Xiaoyan, Nguyen, Truong X., Szeto, Simon K. H., Chotcomwongse, Peranut, Malek, Rachid, Normatova, Nargiza, Ibragimova, Nilufar, Srinivasan, Ramyaa, Zhong, Pingting, Huang, Wenyong, Deng, Chenxin, Ruan, Lei, Zhang, Cuntai, Zhang, Chenxi, Zhou, Yan, Wu, Chan, Dai, Rongping, Koh, Sky Wei Chee, Abdullah, Adina, Hee, Nicholas Ken Yoong, Tan, Hong Chang, Liew, Zhong Hong, Tien, Carolyn Shan-Yeu, Kao, Shih Ling, Lim, Amanda Yuan Ling, Mok, Shao Feng, Sun, Lina, Gu, Jing, Wu, Liang, Li, Tingyao, Cheng, Di, Wang, Zheyuan, Qin, Yiming, Dai, Ling, Meng, Ziyao, Shu, Jia, Lu, Yuwei, Jiang, Nan, Hu, Tingting, Huang, Shan, Huang, Gengyou, Yu, Shujie, Liu, Dan, Ma, Weizhi, Guo, Minyi, Guan, Xinping, Yang, Xiaokang, Bascaran, Covadonga, Cleland, Charles R., Bao, Yuqian, Ekinci, Elif I., Jenkins, Alicia, Chan, Juliana C. N., Bee, Yong Mong, Sivaprasad, Sobha, Shaw, Jonathan E., Simó, Rafael, Keane, Pearse A., Cheng, Ching-Yu, Tan, Gavin Siew Wei, Jia, Weiping, Tham, Yih-Chung, Li, Huating, Sheng, Bin, and Wong, Tien Yin
Published: 2024
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8. Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning Architectures

Author: Prabhakaran, Anirudh, Xiao, YeKun, Cheng, Ching-Yu, and Liu, Dianbo
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract: Ocular diseases, including diabetic retinopathy and glaucoma, present a significant public health challenge due to their high prevalence and potential for causing vision impairment. Early and accurate diagnosis is crucial for effective treatment and management. In recent years, deep learning models have emerged as powerful tools for analysing medical images, such as retina imaging. However, challenges persist in model relibability and uncertainty estimation, which are critical for clinical decision-making. This study leverages the probabilistic framework of Generative Flow Networks (GFlowNets) to learn the posterior distribution over latent discrete dropout masks for the classification and analysis of ocular diseases using fundus images. We develop a robust and generalizable method that utilizes GFlowOut integrated with ResNet18 and ViT models as the backbone in identifying various ocular conditions. This study employs a unique set of dropout masks - none, random, bottomup, and topdown - to enhance model performance in analyzing these fundus images. Our results demonstrate that our learnable probablistic latents significantly improves accuracy, outperforming the traditional dropout approach. We utilize a gradient map calculation method, Grad-CAM, to assess model explainability, observing that the model accurately focuses on critical image regions for predictions. The integration of GFlowOut in neural networks presents a promising advancement in the automated diagnosis of ocular diseases, with implications for improving clinical workflows and patient outcomes.
Published: 2024

9. Genetic variants for head size share genes and pathways with cancer

Author: Knol, Maria J, Poot, Raymond A, Evans, Tavia E, Satizabal, Claudia L, Mishra, Aniket, Sargurupremraj, Muralidharan, van der Auwera, Sandra, Duperron, Marie-Gabrielle, Jian, Xueqiu, Hostettler, Isabel C, van Dam-Nolen, Dianne HK, Lamballais, Sander, Pawlak, Mikolaj A, Lewis, Cora E, Carrion-Castillo, Amaia, van Erp, Theo GM, Reinbold, Céline S, Shin, Jean, Scholz, Markus, Håberg, Asta K, Kämpe, Anders, Li, Gloria HY, Avinun, Reut, Atkins, Joshua R, Hsu, Fang-Chi, Amod, Alyssa R, Lam, Max, Tsuchida, Ami, Teunissen, Mariël WA, Aygün, Nil, Patel, Yash, Liang, Dan, Beiser, Alexa S, Beyer, Frauke, Bis, Joshua C, Bos, Daniel, Bryan, R Nick, Bülow, Robin, Caspers, Svenja, Catheline, Gwenaëlle, Cecil, Charlotte AM, Dalvie, Shareefa, Dartigues, Jean-François, DeCarli, Charles, Enlund-Cerullo, Maria, Ford, Judith M, Franke, Barbara, Freedman, Barry I, Friedrich, Nele, Green, Melissa J, Haworth, Simon, Helmer, Catherine, Hoffmann, Per, Homuth, Georg, Ikram, M Kamran, Jack, Clifford R, Jahanshad, Neda, Jockwitz, Christiane, Kamatani, Yoichiro, Knodt, Annchen R, Li, Shuo, Lim, Keane, Longstreth, WT, Macciardi, Fabio, Consortium, The Cohorts for Heart and Aging Research in Genomic Epidemiology, Amouyel, Philippe, Arfanakis, Konstantinos, Aribisala, Benjamin S, Bastin, Mark E, Chauhan, Ganesh, Chen, Christopher, Cheng, Ching-Yu, de Jager, Philip L, Deary, Ian J, Fleischman, Debra A, Gottesman, Rebecca F, Gudnason, Vilmundur, Hilal, Saima, Hofer, Edith, Janowitz, Deborah, Jukema, J Wouter, Liewald, David CM, Lopez, Lorna M, Lopez, Oscar, Luciano, Michelle, Martinez, Oliver, Niessen, Wiro J, Nyquist, Paul, Rotter, Jerome I, Rundek, Tatjana, Sacco, Ralph L, Schmidt, Helena, Tiemeier, Henning, Trompet, Stella, van der Grond, Jeroen, Völzke, Henry, Wardlaw, Joanna M, Yanek, Lisa, Yang, Jingyun, and Consortium, The Enhancing NeuroImaging Genetics through Meta-Analysis
Subjects: Biomedical and Clinical Sciences, Biotechnology, Genetics, Cancer, Human Genome, Stem Cell Research, Neurosciences, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Neurological, Humans, Genome-Wide Association Study, Head, Neoplasms, Female, Male, Polymorphism, Single Nucleotide, Genetic Variation, Organ Size, Signal Transduction, Adult, Genetic Predisposition to Disease, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium, cancer, genetics, genome-wide association study, head circumference, head size, intracranial volume, meta-analysis, Biomedical and clinical sciences
Abstract: The size of the human head is highly heritable, but genetic drivers of its variation within the general population remain unmapped. We perform a genome-wide association study on head size (N = 80,890) and identify 67 genetic loci, of which 50 are novel. Neuroimaging studies show that 17 variants affect specific brain areas, but most have widespread effects. Gene set enrichment is observed for various cancers and the p53, Wnt, and ErbB signaling pathways. Genes harboring lead variants are enriched for macrocephaly syndrome genes (37-fold) and high-fidelity cancer genes (9-fold), which is not seen for human height variants. Head size variants are also near genes preferentially expressed in intermediate progenitor cells, neural cells linked to evolutionary brain expansion. Our results indicate that genes regulating early brain and cranial growth incline to neoplasia later in life, irrespective of height. This warrants investigation of clinical implications of the link between head size and cancer.
Published: 2024

10. Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt

Author: Wang, Meng, Lin, Tian, Xu, Ting, Zou, Ke, Chen, Haoyu, Fu, Huazhu, Cheng, Ching-Yu, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bhavna, Antony, editor, Chen, Hao, editor, Fang, Huihui, editor, Fu, Huazhu, editor, and Lee, Cecilia S., editor
Published: 2025
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11. Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust

Author: Lei, Xiaofeng, Tham, Yih-Chung, Goh, Jocelyn Hui Lin, Feng, Yangqin, Bai, Yang, Soh, Zhi Da, Goh, Rick Siow Mong, Xu, Xinxing, Liu, Yong, Cheng, Ching-Yu, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bhavna, Antony, editor, Chen, Hao, editor, Fang, Huihui, editor, Fu, Huazhu, editor, and Lee, Cecilia S., editor
Published: 2025
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12. HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images

Author: Qian, Bo, Wang, Xiangning, Guan, Zhouyu, Yang, Dawei, Ran, Anran, Li, Tingyao, Wang, Zheyuan, Wen, Yang, Shu, Xinming, Xie, Jinyang, Liu, Shichang, Xing, Guanyu, Silva-Rodríguez, Julio, Kobbi, Riadh, Li, Ping, Chen, Tingli, Bi, Lei, Kim, Jinman, Jia, Weiping, Li, Huating, Qin, Jing, Zhang, Ping, Cheng, Ching-Yu, Heng, Pheng-Ann, Wong, Tien Yin, Cheung, Carol Y., Tham, Yih-Chung, Thalmann, Nadia Magnenat, and Sheng, Bin
Published: 2024
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13. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.

Author: Scholz, Markus, Horn, Katrin, Pott, Janne, Wuttke, Matthias, Kühnapfel, Andreas, Nasr, M, Kirsten, Holger, Li, Yong, Hoppmann, Anselm, Gorski, Mathias, Ghasemi, Sahar, Li, Man, Tin, Adrienne, Chai, Jin-Fang, Cocca, Massimiliano, Wang, Judy, Nutile, Teresa, Akiyama, Masato, Åsvold, Bjørn, Bansal, Nisha, Biggs, Mary, Boutin, Thibaud, Brenner, Hermann, Brumpton, Ben, Burkhardt, Ralph, Cai, Jianwen, Campbell, Archie, Campbell, Harry, Chalmers, John, Chasman, Daniel, Chee, Miao, Chen, Xu, Cheng, Ching-Yu, Cifkova, Renata, Daviglus, Martha, Delgado, Graciela, Dittrich, Katalin, Edwards, Todd, Endlich, Karlhans, Michael Gaziano, J, Giri, Ayush, Giulianini, Franco, Gordon, Scott, Gudbjartsson, Daniel, Hallan, Stein, Hamet, Pavel, Hartman, Catharina, Hayward, Caroline, Heid, Iris, Hellwege, Jacklyn, Holleczek, Bernd, Holm, Hilma, Hutri-Kähönen, Nina, Hveem, Kristian, Isermann, Berend, Jonas, Jost, Joshi, Peter, Kamatani, Yoichiro, Kanai, Masahiro, Kastarinen, Mika, Khor, Chiea, Kiess, Wieland, Kleber, Marcus, Körner, Antje, Kovacs, Peter, Krajcoviechova, Alena, Kramer, Holly, Krämer, Bernhard, Kuokkanen, Mikko, Kähönen, Mika, Lange, Leslie, Lash, James, Lehtimäki, Terho, Li, Hengtong, Lin, Bridget, Liu, Jianjun, Loeffler, Markus, Lyytikäinen, Leo-Pekka, Magnusson, Patrik, Martin, Nicholas, Matsuda, Koichi, Milaneschi, Yuri, Mishra, Pashupati, Mononen, Nina, Montgomery, Grant, Mook-Kanamori, Dennis, Mychaleckyj, Josyf, März, Winfried, Nauck, Matthias, Nikus, Kjell, Nolte, Ilja, Noordam, Raymond, Okada, Yukinori, Olafsson, Isleifur, Oldehinkel, Albertine, Penninx, Brenda, Perola, Markus, Pirastu, Nicola, and Polasek, Ozren
Subjects: Humans, Male, Female, Androgens, Genome-Wide Association Study, Kidney, Chromosomes, Human, X, Response Elements, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Tetraspanins
Abstract: X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research.
Published: 2024

14. Genome-wide meta-analysis identifies 22 loci for normal tension glaucoma with significant overlap with high tension glaucoma

Author: Diaz-Torres, Santiago, He, Weixiong, Yu, Regina, Khawaja, Anthony P., Hammond, Christopher J., Hysi, Pirro G., Pasquale, Louis R., Wu, Yeda, Kubo, Michiaki, Akiyama, Masato, Aung, Tin, Cheng, Ching-Yu, Khor, Chiea Chuen, Kraft, Peter, Kang, Jae H., Hewitt, Alex W., Mackey, David A., Craig, Jamie E., Wiggs, Janey L., Ong, Jue-Sheng, MacGregor, Stuart, and Gharahkhani, Puya
Published: 2024
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15. A Catalogue of Structural Variation across Ancestrally Diverse Asian Genomes

Author: Tan, Joanna Hui Juan, Li, Zhihui, Porta, Mar Gonzalez, Rajaby, Ramesh, Lim, Weng Khong, Tan, Ye An, Jimenez, Rodrigo Toro, Teo, Renyi, Hebrard, Maxime, Ow, Jack Ling, Ang, Shimin, Jeyakani, Justin, Chong, Yap Seng, Lim, Tock Han, Goh, Liuh Ling, Tham, Yih Chung, Leong, Khai Pang, Chin, Calvin Woon Loong, Davila, Sonia, Karnani, Neerja, Cheng, Ching-Yu, Chambers, John, Tai, E. Shyong, Liu, Jianjun, Sim, Xueling, Sung, Wing Kin, Prabhakar, Shyam, Tan, Patrick, and Bertin, Nicolas
Published: 2024
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16. Housing status is protective of neuropsychiatric symptoms among dementia-free multi-ethnic Asian elderly

Author: Zhang, Haoran, Wang, Yuwei, Zhang, Yaping, Hilal, Saima, Cheng, Ching-Yu, Wong, Tien Yin, Chen, Christopher, Venketasubramanian, Narayanaswamy, and Xu, Xin
Published: 2024
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17. Correction: Prognostic potentials of AI in ophthalmology: systemic disease forecasting via retinal imaging

Author: Tan, Yong Yu, Kang, Hyun Goo, Lee, Chan Joo, Kim, Sung Soo, Park, Sungha, Thakur, Sahil, Da Soh, Zhi, Cho, Yunnie, Peng, Qingsheng, Lee, Kwanghyun, Tham, Yih-Chung, Rim, Tyler Hyungtaek, and Cheng, Ching-Yu
Published: 2024
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18. Prognostic potentials of AI in ophthalmology: systemic disease forecasting via retinal imaging

Author: Tan, Yong Yu, Kang, Hyun Goo, Lee, Chan Joo, Kim, Sung Soo, Park, Sungha, Thakur, Sahil, Da Soh, Zhi, Cho, Yunnie, Peng, Qingsheng, Lee, Kwanghyun, Tham, Yih-Chung, Rim, Tyler Hyungtaek, and Cheng, Ching-yu
Published: 2024
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19. Prevalence, associated risk factors; and patient and economic impact of multiple sensory impairment in a multi-ethnic elderly population in Singapore: the PIONEER study

Author: Gupta, Preeti, Chan, Aurora, Tai-Anh, Vu, Man, Ryan E. K., Fenwick, Eva K., Aravindhan, Amudha, Junxing, Chay, Wood, Joanne M., Black, Alex A., Ng, Jia Hui, Cheng, Ching-Yu, Sabanayagam, Charumathi, and Lamoureux, Ecosse L.
Published: 2024
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20. Blood biomarkers improve the prediction of prevalent and incident severe chronic kidney disease

Author: Nusinovici, Simon, Li, Hengtong, Chong, Crystal, Yu, Marco, Sørensen, Ida Maria Hjelm, Bisgaard, Line Stattau, Christoffersen, Christina, Bro, Susanne, Liu, Sylvia, Liu, Jian-Jun, Chi, Lim Su, Wong, Tien-Yin, Tan, Gavin S. W., Cheng, Ching-Yu, and Sabanayagam, Charumathi
Published: 2024
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21. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Author: Suzuki, Ken, Hatzikotoulas, Konstantinos, Southam, Lorraine, Taylor, Henry J., Yin, Xianyong, Lorenz, Kim M., Mandla, Ravi, Huerta-Chagoya, Alicia, Melloni, Giorgio E. M., Kanoni, Stavroula, Rayner, Nigel W., Bocher, Ozvan, Arruda, Ana Luiza, Sonehara, Kyuto, Namba, Shinichi, Lee, Simon S. K., Preuss, Michael H., Petty, Lauren E., Schroeder, Philip, Vanderwerff, Brett, Kals, Mart, Bragg, Fiona, Lin, Kuang, Guo, Xiuqing, Zhang, Weihua, Yao, Jie, Kim, Young Jin, Graff, Mariaelisa, Takeuchi, Fumihiko, Nano, Jana, Lamri, Amel, Nakatochi, Masahiro, Moon, Sanghoon, Scott, Robert A., Cook, James P., Lee, Jung-Jin, Pan, Ian, Taliun, Daniel, Parra, Esteban J., Chai, Jin-Fang, Bielak, Lawrence F., Tabara, Yasuharu, Hai, Yang, Thorleifsson, Gudmar, Grarup, Niels, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloé, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Kwak, Soo-Heon, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Nongmaithem, Suraj S., Noordam, Raymond, Lim, Victor J. Y., Tam, Claudia H. T., Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M., Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R., Chen, Guanjie, Brody, Jennifer A., Kabagambe, Edmond, An, Ping, Xiang, Anny H., Choi, Hyeok Sun, Cade, Brian E., Tan, Jingyi, Broadaway, K. Alaine, Williamson, Alice, Kamali, Zoha, Cui, Jinrui, Thangam, Manonanthini, Adair, Linda S., Adeyemo, Adebowale, Aguilar-Salinas, Carlos A., Ahluwalia, Tarunveer S., Anand, Sonia S., Bertoni, Alain, Bork-Jensen, Jette, Brandslund, Ivan, Buchanan, Thomas A., Burant, Charles F., Butterworth, Adam S., Canouil, Mickaël, Chan, Juliana C. N., Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, Cushman, Mary, Danesh, John, Das, Swapan K., de Silva, H. Janaka, Dedoussis, George, Dimitrov, Latchezar, Doumatey, Ayo P., Du, Shufa, Duan, Qing, Eckardt, Kai-Uwe, Emery, Leslie S., Evans, Daniel S., Evans, Michele K., Fischer, Krista, Floyd, James S., Ford, Ian, Franco, Oscar H., Frayling, Timothy M., Freedman, Barry I., Genter, Pauline, Gerstein, Hertzel C., Giedraitis, Vilmantas, González-Villalpando, Clicerio, González-Villalpando, Maria Elena, Gordon-Larsen, Penny, Gross, Myron, Guare, Lindsay A., Hackinger, Sophie, Hakaste, Liisa, Han, Sohee, Hattersley, Andrew T., Herder, Christian, Horikoshi, Momoko, Howard, Annie-Green, Hsueh, Willa, Huang, Mengna, Huang, Wei, Hung, Yi-Jen, Hwang, Mi Yeong, Hwu, Chii-Min, Ichihara, Sahoko, Ikram, Mohammad Arfan, Ingelsson, Martin, Islam, Md. Tariqul, Isono, Masato, Jang, Hye-Mi, Jasmine, Farzana, Jiang, Guozhi, Jonas, Jost B., Jørgensen, Torben, Kamanu, Frederick K., Kandeel, Fouad R., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kaur, Varinderpal, Kawaguchi, Takahisa, Keaton, Jacob M., Kho, Abel N., Khor, Chiea-Chuen, Kibriya, Muhammad G., Kim, Duk-Hwan, Kronenberg, Florian, Kuusisto, Johanna, Läll, Kristi, Lange, Leslie A., Lee, Kyung Min, Lee, Myung-Shik, Lee, Nanette R., Leong, Aaron, Li, Liming, Li, Yun, Li-Gao, Ruifang, Ligthart, Symen, Lindgren, Cecilia M., Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Locke, Adam E., Louie, Tin, Luan, Jian’an, Luk, Andrea O., Luo, Xi, Lv, Jun, Lynch, Julie A., Lyssenko, Valeriya, Maeda, Shiro, Mamakou, Vasiliki, Mansuri, Sohail Rafik, Matsuda, Koichi, Meitinger, Thomas, Melander, Olle, Metspalu, Andres, Mo, Huan, Morris, Andrew D., Moura, Filipe A., Nadler, Jerry L., Nalls, Michael A., Nayak, Uma, Ntalla, Ioanna, Okada, Yukinori, Orozco, Lorena, Patel, Sanjay R., Patil, Snehal, Pei, Pei, Pereira, Mark A., Peters, Annette, Pirie, Fraser J., Polikowsky, Hannah G., Porneala, Bianca, Prasad, Gauri, Rasmussen-Torvik, Laura J., Reiner, Alexander P., Roden, Michael, Rohde, Rebecca, Roll, Katheryn, Sabanayagam, Charumathi, Sandow, Kevin, Sankareswaran, Alagu, Sattar, Naveed, Schönherr, Sebastian, Shahriar, Mohammad, Shen, Botong, Shi, Jinxiu, Shin, Dong Mun, Shojima, Nobuhiro, Smith, Jennifer A., So, Wing Yee, Stančáková, Alena, Steinthorsdottir, Valgerdur, Stilp, Adrienne M., Strauch, Konstantin, Taylor, Kent D., Thorand, Barbara, Thorsteinsdottir, Unnur, Tomlinson, Brian, Tran, Tam C., Tsai, Fuu-Jen, Tuomilehto, Jaakko, Tusie-Luna, Teresa, Udler, Miriam S., Valladares-Salgado, Adan, van Dam, Rob M., van Klinken, Jan B., Varma, Rohit, Wacher-Rodarte, Niels, Wheeler, Eleanor, Wickremasinghe, Ananda R., van Dijk, Ko Willems, Witte, Daniel R., Yajnik, Chittaranjan S., Yamamoto, Ken, Yamamoto, Kenichi, Yoon, Kyungheon, Yu, Canqing, Yuan, Jian-Min, Yusuf, Salim, Zawistowski, Matthew, Zhang, Liang, Zheng, Wei, Raffel, Leslie J., Igase, Michiya, Ipp, Eli, Redline, Susan, Cho, Yoon Shin, Lind, Lars, Province, Michael A., Fornage, Myriam, Hanis, Craig L., Ingelsson, Erik, Zonderman, Alan B., Psaty, Bruce M., Wang, Ya-Xing, Rotimi, Charles N., Becker, Diane M., Matsuda, Fumihiko, Liu, Yongmei, Yokota, Mitsuhiro, Kardia, Sharon L. R., Peyser, Patricia A., Pankow, James S., Engert, James C., Bonnefond, Amélie, Froguel, Philippe, Wilson, James G., Sheu, Wayne H. H., Wu, Jer-Yuarn, Hayes, M. Geoffrey, Ma, Ronald C. W., Wong, Tien-Yin, Mook-Kanamori, Dennis O., Tuomi, Tiinamaija, Chandak, Giriraj R., Collins, Francis S., Bharadwaj, Dwaipayan, Paré, Guillaume, Sale, Michèle M., Ahsan, Habibul, Motala, Ayesha A., Shu, Xiao-Ou, Park, Kyong-Soo, Jukema, J. Wouter, Cruz, Miguel, Chen, Yii-Der Ida, Rich, Stephen S., McKean-Cowdin, Roberta, Grallert, Harald, Cheng, Ching-Yu, Ghanbari, Mohsen, Tai, E-Shyong, Dupuis, Josee, Kato, Norihiro, Laakso, Markku, Köttgen, Anna, Koh, Woon-Puay, Bowden, Donald W., Palmer, Colin N. A., Kooner, Jaspal S., Kooperberg, Charles, Liu, Simin, North, Kari E., Saleheen, Danish, Hansen, Torben, Pedersen, Oluf, Wareham, Nicholas J., Lee, Juyoung, Kim, Bong-Jo, Millwood, Iona Y., Walters, Robin G., Stefansson, Kari, Ahlqvist, Emma, Goodarzi, Mark O., Mohlke, Karen L., Langenberg, Claudia, Haiman, Christopher A., Loos, Ruth J. F., Florez, Jose C., Rader, Daniel J., Ritchie, Marylyn D., Zöllner, Sebastian, Mägi, Reedik, Marston, Nicholas A., Ruff, Christian T., van Heel, David A., Finer, Sarah, Denny, Joshua C., Yamauchi, Toshimasa, Kadowaki, Takashi, Chambers, John C., Ng, Maggie C. Y., Sim, Xueling, Below, Jennifer E., Tsao, Philip S., Chang, Kyong-Mi, McCarthy, Mark I., Meigs, James B., Mahajan, Anubha, Spracklen, Cassandra N., Mercader, Josep M., Boehnke, Michael, Rotter, Jerome I., Vujkovic, Marijana, Voight, Benjamin F., Morris, Andrew P., and Zeggini, Eleftheria
Published: 2024
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22. MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification

Author: Zhou, Menghan, Xu, Yanyu, Soh, Zhi Da, Fu, Huazhu, GOH, Rick Siow Mong, Cheng, Ching-Yu, Liu, Yong, Zhen, Liangli, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Linguraru, Marius George, editor, Dou, Qi, editor, Feragen, Aasa, editor, Giannarou, Stamatia, editor, Glocker, Ben, editor, Lekadir, Karim, editor, and Schnabel, Julia A., editor
Published: 2024
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23. Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks

Author: Lei, Xiaofeng, Li, Shaohua, Xu, Xinxing, Fu, Huazhu, Liu, Yong, Tham, Yih-Chung, Feng, Yangqin, Tan, Mingrui, Xu, Yanyu, Goh, Jocelyn Hui Lin, Goh, Rick Siow Mong, and Cheng, Ching-Yu
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract: Localizing anatomical landmarks are important tasks in medical image analysis. However, the landmarks to be localized often lack prominent visual features. Their locations are elusive and easily confused with the background, and thus precise localization highly depends on the context formed by their surrounding areas. In addition, the required precision is usually higher than segmentation and object detection tasks. Therefore, localization has its unique challenges different from segmentation or detection. In this paper, we propose a zoom-in attentive network (ZIAN) for anatomical landmark localization in ocular images. First, a coarse-to-fine, or "zoom-in" strategy is utilized to learn the contextualized features in different scales. Then, an attentive fusion module is adopted to aggregate multi-scale features, which consists of 1) a co-attention network with a multiple regions-of-interest (ROIs) scheme that learns complementary features from the multiple ROIs, 2) an attention-based fusion module which integrates the multi-ROIs features and non-ROI features. We evaluated ZIAN on two open challenge tasks, i.e., the fovea localization in fundus images and scleral spur localization in AS-OCT images. Experiments show that ZIAN achieves promising performances and outperforms state-of-the-art localization methods. The source code and trained models of ZIAN are available at https://github.com/leixiaofeng-astar/OMIA9-ZIAN.
Published: 2022

24. A deep learning system for predicting time to progression of diabetic retinopathy

Author: Dai, Ling, Sheng, Bin, Chen, Tingli, Wu, Qiang, Liu, Ruhan, Cai, Chun, Wu, Liang, Yang, Dawei, Hamzah, Haslina, Liu, Yuexing, Wang, Xiangning, Guan, Zhouyu, Yu, Shujie, Li, Tingyao, Tang, Ziqi, Ran, Anran, Che, Haoxuan, Chen, Hao, Zheng, Yingfeng, Shu, Jia, Huang, Shan, Wu, Chan, Lin, Shiqun, Liu, Dan, Li, Jiajia, Wang, Zheyuan, Meng, Ziyao, Shen, Jie, Hou, Xuhong, Deng, Chenxin, Ruan, Lei, Lu, Feng, Chee, Miaoli, Quek, Ten Cheer, Srinivasan, Ramyaa, Raman, Rajiv, Sun, Xiaodong, Wang, Ya Xing, Wu, Jiarui, Jin, Hai, Dai, Rongping, Shen, Dinggang, Yang, Xiaokang, Guo, Minyi, Zhang, Cuntai, Cheung, Carol Y., Tan, Gavin Siew Wei, Tham, Yih-Chung, Cheng, Ching-Yu, Li, Huating, Wong, Tien Yin, and Jia, Weiping
Published: 2024
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25. AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook

Author: Huang, Yu, Cheung, Carol Y, Li, Dawei, Tham, Yih Chung, Sheng, Bin, Cheng, Ching Yu, Wang, Ya Xing, and Wong, Tien Yin
Published: 2024
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26. Artificial intelligence in ophthalmology II: glaucoma

Author: Raghavan, Lavanya, primary, Cheng, Ching-Yu, additional, and Wong, Tien Yin, additional
Published: 2024
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27. List of contributors

Author: Ahn, Joseph C., primary, Anand, Shankara, additional, Arnaout, O., additional, Bandyopadhyay, Anuja, additional, Bartholomew, Erin, additional, Bates, David W., additional, Bender, Sarah M.L., additional, Bhullar, Puneet K., additional, Bhutani, Tina, additional, Boaro, A., additional, Boyer, Edward W., additional, Brown, Ethan D.L., additional, Carreiro, Stephanie, additional, Chahla, Jorge, additional, Chandran, Viji Pulikkel, additional, Cheng, Ching-Yu, additional, Cheung, Carol Y., additional, Choudhary, Anirudh, additional, Choudhury, Avishek, additional, Chung, Mimi, additional, Ciurtin, Coziana, additional, Comfere, Nneka I., additional, Corriveau-Lecavalier, Nick, additional, Côté, Mélina, additional, del Alamo, Diego, additional, Dias, Roger D., additional, Dönnes, Pierre, additional, Duong, Dat, additional, Ebnali, Mahdi, additional, El Sherbini, Adham, additional, ElZarrad, M. Khair, additional, Fakhouri, Tala H., additional, Fakhoury, Marc, additional, Fein, Joshua A., additional, Fischer, Uwe M., additional, Glicksberg, Benjamin S., additional, Goldstein, Cathy, additional, Gonem, Sherif, additional, Green, Darren V.S., additional, Gupta, Raghav, additional, Hakimi, Marwa, additional, Halamka, John D., additional, Han, Christina S., additional, Hannah-Shmouni, Fady, additional, Harrer, Stefan, additional, Hazime, Ali Amer, additional, Howard, Michael A., additional, Hui, Herbert Y.H., additional, Ildardashty, Alexander, additional, J.F. Shaikh, Hashim, additional, Jeliazkov, Jeliazko R., additional, Jones, David T., additional, Juhn, Young J., additional, Jury, Elizabeth C., additional, Kandaswamy, Swaminathan, additional, Kang, Yanna, additional, Kann, Benjamin H., additional, Kaplin, Scott, additional, Karpiak, Joel, additional, Kassir, Elias, additional, Kaur, Harsimran, additional, Khan, Sohil, additional, Khatib, Reem, additional, Kherabi, Yousra, additional, Knake, Lindsey A., additional, Krittanawong, Chayakrit, additional, Kuhn, Veronica C., additional, Kunze, Kyle, additional, Lamarche, Benoît, additional, Laplante, Simon, additional, Lehmann, Lisa Soleymani, additional, Li, Dawei, additional, Liao, Wilson, additional, Likitlersuang, Jirapat, additional, Liu, Qi, additional, Madani, Amin, additional, Malik, Momin M., additional, Mann, Matthias, additional, Masood, Sameer, additional, Mathur, Piyush, additional, McManus, Sean, additional, Menard, Jeffrey, additional, Mivalt, Filip, additional, Murphree, Dennis, additional, Myers, Thomas G., additional, Narayan, Sanjiv M., additional, Natarajan, Vivek, additional, Pandav, Krunal, additional, Parwani, Anil V., additional, Pedraza Bermeo, Adriana Marcela, additional, Peiffer-Smadja, Nathan, additional, Peng, Junjie, additional, Peng, Lily, additional, Peters, Margot S., additional, Petrick, Nicholas, additional, Polce, Evan, additional, Poojari, Pooja Gopal, additional, Price, W. Nicholson, additional, Raghavan, Lavanya, additional, Rajan, Asha K., additional, Ran, An Ran, additional, Rangu, Sowmith, additional, Rashid, Muhammed, additional, Reddy, Charitha D., additional, Rider, Nicholas L., additional, Rigatti, Marc, additional, Rivers, Michael, additional, Robinson, George, additional, Rogers, Albert J., additional, Rogerson, Colin M., additional, Ryu, Euijung, additional, Sahiner, Berkman, additional, Sarnaik, Kunaal, additional, Shafi, Saba, additional, Shah, Vijay H., additional, Shapovalov, Maxim V., additional, Sharma, Samin K, additional, Shekhar, Skand, additional, Shin, Harold, additional, Shouval, Roni, additional, Smith, Kenneth, additional, Sokumbi, Olayemi, additional, Solomon, Benjamin D., additional, Somani, Sulaiman S., additional, Sternke, Matt C., additional, Strauss, Maximillian T., additional, Syrowatka, Ania, additional, Tang, W. H. Wilson, additional, Teven, Chad M., additional, Tewari, Ashutosh Kumar, additional, Thunga, Girish, additional, Urena, Estefania, additional, Verma, Ashish, additional, Vietas, Jay, additional, Waikel, Rebekah L., additional, Wi, Chung-Il, additional, Winter, Meredith C., additional, Wong, Melissa S., additional, Wong, Tien Yin, additional, Wu, Chao-Ping, additional, Yeroushalmi, Samuel, additional, Zenati, Marco A., additional, Zeng, Wen-Feng, additional, and Zheng, Yingfeng, additional
Published: 2024
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28. Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy

Author: Goh, Jocelyn Hui Lin, Ang, Elroy, Srinivasan, Sahana, Lei, Xiaofeng, Loh, Johnathan, Quek, Ten Cheer, Xue, Cancan, Xu, Xinxing, Liu, Yong, Cheng, Ching-Yu, Rajapakse, Jagath C., and Tham, Yih-Chung
Published: 2024
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29. Independent and joint associations of cardiometabolic multimorbidity and depression on cognitive function: findings from multi-regional cohorts and generalisation from community to clinic

Author: Zhao, Xuhao, Xu, Xiaolin, Yan, Yifan, Lipnicki, Darren M., Pang, Ting, Crawford, John D., Chen, Christopher, Cheng, Ching-Yu, Venketasubramanian, Narayanaswamy, Chong, Eddie, Blay, Sergio Luis, Lima-Costa, Maria Fernanda, Castro-Costa, Erico, Lipton, Richard B., Katz, Mindy J., Ritchie, Karen, Scarmeas, Nikolaos, Yannakoulia, Mary, Kosmidis, Mary H., Gureje, Oye, Ojagbemi, Akin, Bello, Toyin, Hendrie, Hugh C., Gao, Sujuan, Guerra, Ricardo Oliveira, Auais, Mohammad, Gomez, José Fernando, Rolandi, Elena, Davin, Annalisa, Rossi, Michele, Riedel-Heller, Steffi G., Löbner, Margit, Roehr, Susanne, Ganguli, Mary, Jacobsen, Erin P., Chang, Chung-Chou H., Aiello, Allison E., Ho, Roger, Sanchez-Juan, Pascual, Valentí-Soler, Meritxell, Ser, Teodoro del, Lobo, Antonio, De-la-Cámara, Concepción, Lobo, Elena, Sachdev, Perminder S., and Xu, Xin
Published: 2024
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30. Application of a deep-learning marker for morbidity and mortality prediction derived from retinal photographs: a cohort development and validation study

Author: Nusinovici, Simon, Rim, Tyler Hyungtaek, Li, Hengtong, Yu, Marco, Deshmukh, Mihir, Quek, Ten Cheer, Lee, Geunyoung, Chong, Crystal Chun Yuen, Peng, Qingsheng, Xue, Can Can, Zhu, Zhuoting, Chew, Emily Y, Sabanayagam, Charumathi, Wong, Tien-Yin, Tham, Yih-Chung, and Cheng, Ching-Yu
Published: 2024
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31. Practice Patterns and Challenges in Managing Inherited Retinal Diseases Across Asia-Pacific: A Survey from the APIED Network

Author: Wong, Wendy M., Tham, Yih Chung, Ayton, Lauren N., Britten-Jones, Alexis Ceecee, Edwards, Thomas L., Grigg, John, Simunovic, Matthew P., Chen, Fred K., Jin, Zi-Bing, Shen, Ren-Juan, Sui, Ruifang, Yang, Liping, Zhao, Chen, Chen, Haoyu, Li, Shiying, Ding, Xiaoyan, Bhende, Muna, Raman, Rajiv, Sen, Parveen, Poornachandra, B., Chia, Valen, Manurung, Florence, Sasongko, Muhammad Bayu, Ikeda, Hanako, Fujinami, Kaoru, Woo, Se Joon, Kim, Sang Jin, Bastion, Mae-Lynn Catherine, Kamalden, Ain Tengku, Lott, Penny P., Fong, Kenneth, Shunmugam, Manoharan, Lim, Amelia, Thapa, Raba, Ibañez, B.Manuel Benjamin, Koh, Adrian, Holder, Graham E., Su, Xinyi, Chan, Choi Mun, Fenner, Beau J., Laude, Augustinus, Ngo, Wei Kiong, Chen, Ta-Ching, Wang, Nan-Kai, Kang, Eugene Yu-Chuan, Surawatsatien, Nuntachai, Pisuchpen, Phattrawan, Sujirakul, Tharikarn, Wongchaisuwat, Nida, Apivatthakakul, Atitaya, Kumaramanickavel, Govindasamy, Leroy, Bart, Michaelides, Michel, Pontikos, Nikolas, Cheng, Ching-Yu, Pang, Chi Pui, Chen, Li Jia, and Chan, Hwei Wuen
Published: 2024
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32. The Association of Urinary Sodium Excretion with Glaucoma and Related Traits in a Large United Kingdom Population

Author: Aschard, Hugues, Chia, Mark, Chua, Sharon, Do, Ron, Foster, Paul, Kang, Jae, Kastner, Alan, Khawaja, Anthony, Kim, Jihye, Lentjes, Marleen, Luben, Robert, Madjedi, Kian, Montesano, Giovanni, Pasquale, Louis, Stuart, Kelsey, Warwick, Alasdair, Wiggs, Janey, Allen, Naomi, Aslam, Tariq, Atan, Denize, Barman, Sarah, Barrett, Jenny, Bishop, Paul, Black, Graeme, Braithwaite, Tasanee, Carare, Roxana, Chakravarthy, Usha, Chan, Michelle, Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew, Doney, Alexander, Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Garway-Heath, David (Ted), Gibson, Jane, Guggenheim, Jeremy, Hammond, Chris, Hardcastle, Alison, Harding, Simon, Hogg, Ruth, Hysi, Pirro, Keane, Pearse, Khaw, Peng Tee, Lascaratos, Gerassimos, Littlejohns, Thomas, Lotery, Andrew, Luthert, Phil, MacGillivray, Tom, Mackie, Sarah, McGuinness, Bernadette, McKay, Gareth, McKibbin, Martin, Moore, Tony, Morgan, James, O'Sullivan, Eoin, Oram, Richard, Owen, Chris, Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Pontikos, Nikolas, Rahi, Jugnoo, Rudnicka, Alicja, Sattar, Naveed, Self, Jay, Sergouniotis, Panagiotis, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Sun, Zihan, Tapp, Robyn, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Viswanathan, Ananth, Vitart, Veronique, Weedon, Mike, Williams, Katie, Williams, Cathy, Woodside, Jayne, Yates, Max, Yip, Jennifer, Zheng, Yalin, Aung, Tin, Burdon, Kathryn, Chen, Li, Cheng, Ching-Yu, Craig, Jamie, Cree, Angela, de Vries, Victor, Driessen, Sjoerd, Fingert, John, Gharahkhani, Puya, Hammond, Christopher, Hayward, Caroline, Hewitt, Alex, Jansonius, Nomdo, Jonansson, Fridbert, Jonas, Jost, Kass, Michael, Khor, Chiea, Klaver, Caroline, Koh, Jacyline, MacGregor, Stuart, Mackey, David, Mitchell, Paul, Pang, Calvin, Pasutto, Francesca, Pfeiffer, Norbert, Polašek, Ozren, Ramdas, Wishal, Schuster, Alexander, Segrè, Ayellet, Stefansson, Einer, Stefánsson, Kári, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, van Duijn, Cornelia, Vergroesen, Joëlle, Vithana, Eranga, Wilson, James, Wojciechowski, Robert, Wong, Tien, Young, Terri, Stuart, Kelsey V., Biradar, Mahantesh I., Luben, Robert N., Dhaun, Neeraj, Wagner, Siegfried K., Warwick, Alasdair N., Madjedi, Kian M., Pasquale, Louis R., Wiggs, Janey L., Kang, Jae H., Lentjes, Marleen A.H., Foster, Paul J., and Khawaja, Anthony P.
Published: 2024
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33. Contributions of Lipid-Related Metabolites and Complement Proteins to Early and Intermediate Age-Related Macular Degeneration

Author: Nusinovici, Simon, Zhou, Lei, Wang, Xinyue, Tham, Yih Chung, Wang, Xiaomeng, Wong, Tien Yin, Chakravarthy, Usha, and Cheng, Ching-Yu
Published: 2024
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34. The protective effect of vitamin B12 on neuropsychiatric symptoms in dementia-free older adults in a multi-ethnic population

Author: Liao, Yingqi, Zhang, Haoran, Zhang, Yaping, Kan, Cheuk Ni, Chia, Rachel Sher Li, Chai, Yuek Ling, Cheng, Ching-Yu, Chen, Christopher, and Xu, Xin
Published: 2025
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35. Interplay between Lipids and Complement Proteins—How Multiomics Data Integration Can Help Unravel Age-related Macular Degeneration Pathophysiology: A Proof-of-concept Study

Author: Nusinovici, Simon, Zhou, Lei, Raghavan, Lavanya, Tham, Yih Chung, Li, Hengtong, Cheung, Danny, Wang, Xiaomeng, Cheung, Chui Ming Gemmy, Wong, Tien Yin, Chakravarthy, Usha, and Cheng, Ching-Yu
Published: 2025
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36. Lipid-lowering drug and complement factor H genotyping–personalized treatment strategy for age-related macular degeneration

Author: Xue, Can Can, Teo, Kelvin Y.C., Tham, Yih Chung, Li, Hengtong, Thakur, Sahil, Sabanayagam, Charumathi, Fan, Qiao, Silver, David L., Wang, Xiaomeng, Cheung, Chui Ming Gemmy, Wong, Tien Yin, Chakravarthy, Usha, Cheng, Ching-Yu, and Nusinovici, Simon
Published: 2024
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37. Omega-3 Polyunsaturated Fatty Acids as a Protective Factor for Myopia

Author: Xue, Can Can, Li, Hengtong, Dong, Xing-Xuan, Yu, Marco, Soh, Zhi Da, Chong, Crystal Chun Yuen, Jiang, Chen, Choquet, Helene, Zebardast, Nazlee, Zekavat, Seyedeh Maryam, Hysi, Pirro G., Saw, Seang Mei, Fan, Qiao, Tham, Yih-Chung, Pan, Chen-Wei, and Cheng, Ching-Yu
Published: 2024
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38. High-resolution 3D ambient noise tomography around the Meishan-Chiayi active fault system of western Taiwan

Author: Cheng, Ching-Yu, Kuo-Chen, Hao, Brown, Dennis, Yao, Huajian, Chen, Kai-Xun, and Ma, Kuo-Fong
Published: 2024
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39. Classification of Visual Field Abnormalities in Highly Myopic Eyes without Pathologic Change

Author: Lin, Fengbin, Chen, Shida, Song, Yunhe, Li, Fei, Wang, Wei, Zhao, Zhenni, Gao, Xinbo, Wang, Peiyuan, Jin, Ling, Liu, Yuhong, Chen, Meiling, Liang, Xiaohong, Yang, Bin, Ning, Guili, Cheng, Ching-Yu, Healey, Paul R, Park, Ki Ho, Zangwill, Linda M, Aung, Tin, Ohno-Matsui, Kyoko, Jonas, Jost B, Weinreb, Robert N, Zhang, Xiulan, Group, Glaucoma Suspects with High Myopia Study, Liu, Yizhi, Lv, Lin, Friedman, David, Gao, Kai, Liu, Bingqian, Bressler, Neil M, He, Mingguang, Chen, Xiang, and Tang, Guangxian
Subjects: Biomedical and Clinical Sciences, Ophthalmology and Optometry, Eye Disease and Disorders of Vision, Neurosciences, Aging, Clinical Research, Clinical Trials and Supportive Activities, Eye, Glaucoma, Humans, Intraocular Pressure, Longitudinal Studies, Myopia, Optic Disk, Retrospective Studies, Scotoma, Vision Disorders, Visual Field Tests, Visual Fields, Classification system, High myopia, Visual field abnormalities, Glaucoma Suspects with High Myopia Study Group, Clinical Sciences, Opthalmology and Optometry, Public Health and Health Services, Ophthalmology & Optometry, Ophthalmology and optometry
Abstract: PurposeTo develop a classification system of visual field (VF) abnormalities in highly myopic eyes with and without glaucoma.DesignSecondary analysis of VF data from a longitudinal cohort study.ParticipantsOne thousand eight hundred ninety-three VF tests from 1302 eyes (825 individuals).MethodsAll participants underwent VF testing (Humphrey 24-2 Swedish interactive threshold algorithm standard program; Carl Zeiss Meditec) and detailed ophthalmic examination. A comprehensive set of VF defect patterns was defined via observation of the 1893 VF reports, literature review, and consensus meetings. The classification system comprised 4 major types of VF patterns, including normal type, glaucoma-like defects (paracentral defect, nasal step, partial arcuate defect, arcuate defect), high myopia-related defects (enlarged blind spot, vertical step, partial peripheral rim, nonspecific defect), and combined defects (nasal step with enlarged blind spot). A subset (n = 1000) of the VFs was used to evaluate the interobserver and intraobserver agreement and weighted κ values of the classification system by 2 trained readers. The prevalence of various VF patterns and their associated factors were determined.Main outcome measuresThe classification of VF in highly myopic eyes and its associated risk factors.ResultsWe found that normal type, glaucoma-like defects, high myopia-related defects, and combined defects accounted for 74.1%, 10.8%, 15.0%, and 0.1% of all unique VF tests, respectively. The interobserver and intraobserver agreements were > 89%, and the corresponding κ values were 0.86 or more between readers. Both glaucoma-like and high myopia-related VF defects were associated with older age (odds ratios [ORs], 1.07 [95% confidence interval (CI), 1.04-1.10; P < 0.001] and 1.06 [95% CI, 1.04-1.10; P < 0.001]) and longer axial length (ORs, 1.65 [95% CI, 1.32-2.07; P < 0.001] and 1.37 [95% CI, 1.11-1.68; P = 0.003]). Longer axial length showed a stronger effect on the prevalence of glaucoma-like VF defects than on the prevalence of high myopia-related VF defects (P = 0.036).ConclusionsWe propose a new and reproducible classification system of VF abnormalities for nonpathologic high myopia. Applying a comprehensive classification system will facilitate communication and comparison of findings among studies.
Published: 2022

40. The Three-Dimensional Structural Configuration of the Central Retinal Vessel Trunk and Branches as a Glaucoma Biomarker

Author: Panda, Satish K., Cheong, Haris, Tun, Tin A., Chuangsuwanich, Thanadet, Kadziauskiene, Aiste, Senthil, Vijayalakshmi, Krishnadas, Ramaswami, Buist, Martin L., Perera, Shamira, Cheng, Ching-Yu, Aung, Tin, Thiery, Alexandre H., and Girard, Michael J. A.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Physics - Medical Physics
Abstract: Purpose: To assess whether the three-dimensional (3D) structural configuration of the central retinal vessel trunk and its branches (CRVT&B) could be used as a diagnostic marker for glaucoma. Method: We trained a deep learning network to automatically segment the CRVT&B from the B-scans of the optical coherence tomography (OCT) volume of the optic nerve head (ONH). Subsequently, two different approaches were used for glaucoma diagnosis using the structural configuration of the CRVT&B as extracted from the OCT volumes. In the first approach, we aimed to provide a diagnosis using only 3D CNN and the 3D structure of the CRVT&B. For the second approach, we projected the 3D structure of the CRVT&B orthographically onto three planes to obtain 2D images, and then a 2D CNN was used for diagnosis. The segmentation accuracy was evaluated using the Dice coefficient, whereas the diagnostic accuracy was assessed using the area under the receiver operating characteristic curves (AUC). The diagnostic performance of the CRVT&B was also compared with that of retinal nerve fiber layer (RNFL) thickness. Results: Our segmentation network was able to efficiently segment retinal blood vessels from OCT scans. On a test set, we achieved a Dice coefficient of 0.81\pm0.07. The 3D and 2D diagnostic networks were able to differentiate glaucoma from non-glaucoma subjects with accuracies of 82.7% and 83.3%, respectively. The corresponding AUCs for CRVT&B were 0.89 and 0.90, higher than those obtained with RNFL thickness alone. Conclusions: Our work demonstrated that the diagnostic power of the CRVT&B is superior to that of a gold-standard glaucoma parameter, i.e., RNFL thickness. Our work also suggested that the major retinal blood vessels form a skeleton -- the configuration of which may be representative of major ONH structural changes as typically observed with the development and progression of glaucoma.
Published: 2021

41. Ocular image-based deep learning for predicting refractive error: A systematic review

Author: Yew, Samantha Min Er, Chen, Yibing, Goh, Jocelyn Hui Lin, Chen, David Ziyou, Chun Jin Tan, Marcus, Cheng, Ching-Yu, Teck Chang Koh, Victor, and Tham, Yih Chung
Published: 2024
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42. Effects of an unfolding case study on clinical reasoning, self-directed learning, and team collaboration of undergraduate nursing students: A mixed methods study

Author: Cheng, Ching-Yu, Hung, Chang-Chiao, Chen, Yea-Jyh, Liou, Shwu-Ru, and Chu, Tsui-Ping
Published: 2024
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43. Is Kidney Function Associated with Age-Related Macular Degeneration?: Findings from the Asian Eye Epidemiology Consortium

Author: Xue, Can Can, Sim, Ralene, Chee, Miao Li, Yu, Marco, Wang, Ya Xing, Rim, Tyler Hyungtaek, Hyung, Park Kyu, Woong, Kang Se, Song, Su Jeong, Nangia, Vinay, Panda-Jonas, Songhomitra, Wang, Ning Li, Hao, Jie, Zhang, Qing, Cao, Kai, Sasaki, Mariko, Harada, Sei, Toru, Takebayashi, Ryo, Kawasaki, Raman, Rajiv, Surya, Janani, Khan, Rehana, Bikbov, Mukharram, Wong, Ian Y., Cheung, Chui Ming Gemmy, Jonas, Jost B., Cheng, Ching-Yu, and Tham, Yih-Chung
Published: 2024
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44. A deep network DeepOpacityNet for detection of cataracts from color fundus photographs

Author: Elsawy, Amr, Keenan, Tiarnan D. L., Chen, Qingyu, Thavikulwat, Alisa T., Bhandari, Sanjeeb, Quek, Ten Cheer, Goh, Jocelyn Hui Lin, Tham, Yih-Chung, Cheng, Ching-Yu, Chew, Emily Y., and Lu, Zhiyong
Published: 2023
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45. Genetic insights into resting heart rate and its role in cardiovascular disease

Author: van de Vegte, Yordi J., Eppinga, Ruben N., van der Ende, M. Yldau, Hagemeijer, Yanick P., Mahendran, Yuvaraj, Salfati, Elias, Smith, Albert V., Tan, Vanessa Y., Arking, Dan E., Ntalla, Ioanna, Appel, Emil V., Schurmann, Claudia, Brody, Jennifer A., Rueedi, Rico, Polasek, Ozren, Sveinbjornsson, Gardar, Lecoeur, Cecile, Ladenvall, Claes, Zhao, Jing Hua, Isaacs, Aaron, Wang, Lihua, Luan, Jian’an, Hwang, Shih-Jen, Mononen, Nina, Auro, Kirsi, Jackson, Anne U., Bielak, Lawrence F., Zeng, Linyao, Shah, Nabi, Nethander, Maria, Campbell, Archie, Rankinen, Tuomo, Pechlivanis, Sonali, Qi, Lu, Zhao, Wei, Rizzi, Federica, Tanaka, Toshiko, Robino, Antonietta, Cocca, Massimiliano, Lange, Leslie, Müller-Nurasyid, Martina, Roselli, Carolina, Zhang, Weihua, Kleber, Marcus E., Guo, Xiuqing, Lin, Henry J., Pavani, Francesca, Galesloot, Tessel E., Noordam, Raymond, Milaneschi, Yuri, Schraut, Katharina E., den Hoed, Marcel, Degenhardt, Frauke, Trompet, Stella, van den Berg, Marten E., Pistis, Giorgio, Tham, Yih-Chung, Weiss, Stefan, Sim, Xueling S., Li, Hengtong L., van der Most, Peter J., Nolte, Ilja M., Lyytikäinen, Leo-Pekka, Said, M. Abdullah, Witte, Daniel R., Iribarren, Carlos, Launer, Lenore, Ring, Susan M., de Vries, Paul S., Sever, Peter, Linneberg, Allan, Bottinger, Erwin P., Padmanabhan, Sandosh, Psaty, Bruce M., Sotoodehnia, Nona, Kolcic, Ivana, Arnar, David O., Gudbjartsson, Daniel F., Holm, Hilma, Balkau, Beverley, Silva, Claudia T., Newton-Cheh, Christopher H., Nikus, Kjell, Salo, Perttu, Mohlke, Karen L., Peyser, Patricia A., Schunkert, Heribert, Lorentzon, Mattias, Lahti, Jari, Rao, Dabeeru C., Cornelis, Marilyn C., Faul, Jessica D., Smith, Jennifer A., Stolarz-Skrzypek, Katarzyna, Bandinelli, Stefania, Concas, Maria Pina, Sinagra, Gianfranco, Meitinger, Thomas, Waldenberger, Melanie, Sinner, Moritz F., Strauch, Konstantin, Delgado, Graciela E., Taylor, Kent D., Yao, Jie, Foco, Luisa, Melander, Olle, de Graaf, Jacqueline, de Mutsert, Renée, de Geus, Eco J. C., Johansson, Åsa, Joshi, Peter K., Lind, Lars, Franke, Andre, Macfarlane, Peter W., Tarasov, Kirill V., Tan, Nicholas, Felix, Stephan B., Tai, E-Shyong, Quek, Debra Q., Snieder, Harold, Ormel, Johan, Ingelsson, Martin, Lindgren, Cecilia, Morris, Andrew P., Raitakari, Olli T., Hansen, Torben, Assimes, Themistocles, Gudnason, Vilmundur, Timpson, Nicholas J., Morrison, Alanna C., Munroe, Patricia B., Strachan, David P., Grarup, Niels, Loos, Ruth J. F., Heckbert, Susan R., Vollenweider, Peter, Hayward, Caroline, Stefansson, Kari, Froguel, Philippe, Groop, Leif, Wareham, Nicholas J., van Duijn, Cornelia M., Feitosa, Mary F., O’Donnell, Christopher J., Kähönen, Mika, Perola, Markus, Boehnke, Michael, Kardia, Sharon L. R., Erdmann, Jeanette, Palmer, Colin N. A., Ohlsson, Claes, Porteous, David J., Eriksson, Johan G., Bouchard, Claude, Moebus, Susanne, Kraft, Peter, Weir, David R., Cusi, Daniele, Ferrucci, Luigi, Ulivi, Sheila, Girotto, Giorgia, Correa, Adolfo, Kääb, Stefan, Peters, Annette, Chambers, John C., Kooner, Jaspal S., März, Winfried, Rotter, Jerome I., Hicks, Andrew A., Smith, J. Gustav, Kiemeney, Lambertus A. L. M., Mook-Kanamori, Dennis O., Penninx, Brenda W. J. H., Gyllensten, Ulf, Wilson, James F., Burgess, Stephen, Sundström, Johan, Lieb, Wolfgang, Jukema, J. Wouter, Eijgelsheim, Mark, Lakatta, Edward L. M., Cheng, Ching-Yu, Dörr, Marcus, Wong, Tien-Yin, Sabanayagam, Charumathi, Oldehinkel, Albertine J., Riese, Harriette, Lehtimäki, Terho, Verweij, Niek, and van der Harst, Pim
Published: 2023
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46. Assessing the external validity of machine learning-based detection of glaucoma

Author: Li, Chi, Chua, Jacqueline, Schwarzhans, Florian, Husain, Rahat, Girard, Michaël J. A., Majithia, Shivani, Tham, Yih-Chung, Cheng, Ching-Yu, Aung, Tin, Fischer, Georg, Vass, Clemens, Bujor, Inna, Kwoh, Chee Keong, Popa-Cherecheanu, Alina, Schmetterer, Leopold, and Wong, Damon
Published: 2023
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47. Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank

Author: Tseng, Rachel Marjorie Wei Wen, Rim, Tyler Hyungtaek, Shantsila, Eduard, Yi, Joseph K., Park, Sungha, Kim, Sung Soo, Lee, Chan Joo, Thakur, Sahil, Nusinovici, Simon, Peng, Qingsheng, Kim, Hyeonmin, Lee, Geunyoung, Yu, Marco, Tham, Yih-Chung, Bakhai, Ameet, Leeson, Paul, Lip, Gregory Y.H., Wong, Tien Yin, and Cheng, Ching-Yu
Published: 2023
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48. Rare variant analyses across multiethnic cohorts identify novel genes for refractive error

Author: Musolf, Anthony M., Haarman, Annechien E. G., Luben, Robert N., Ong, Jue-Sheng, Patasova, Karina, Trapero, Rolando Hernandez, Marsh, Joseph, Jain, Ishika, Jain, Riya, Wang, Paul Zhiping, Lewis, Deyana D., Tedja, Milly S., Iglesias, Adriana I., Li, Hengtong, Cowan, Cameron S., Biino, Ginevra, Klein, Alison P., Duggal, Priya, Mackey, David A., Hayward, Caroline, Haller, Toomas, Metspalu, Andres, Wedenoja, Juho, Pärssinen, Olavi, Cheng, Ching-Yu, Saw, Seang-Mei, Stambolian, Dwight, Hysi, Pirro G., Khawaja, Anthony P., Vitart, Veronique, Hammond, Christopher J., van Duijn, Cornelia M., Verhoeven, Virginie J. M., Klaver, Caroline C. W., and Bailey-Wilson, Joan E.
Published: 2023
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49. Contribution of common and rare variants to Asian neovascular age-related macular degeneration subtypes

Author: Fan, Qiao, Li, Hengtong, Wang, Xiaomeng, Tham, Yih-Chung, Teo, Kelvin Yi Chong, Yasuda, Masayuki, Lim, Weng Khong, Kwan, Yuet Ping, Teo, Jing Xian, Chen, Ching-Jou, Chen, Li Jia, Ahn, Jeeyun, Davila, Sonia, Miyake, Masahiro, Tan, Patrick, Park, Kyu Hyung, Pang, Chi Pui, Khor, Chiea Chuan, Wong, Tien Yin, Yanagi, Yasuo, Cheung, Chui Ming Gemmy, and Cheng, Ching-Yu
Published: 2023
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50. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Brauer, Michael, Roth, Gregory A, Aravkin, Aleksandr Y, Zheng, Peng, Abate, Kalkidan Hassen, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abiodun, Olumide, Abiso, Temesgen Lera, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abukhadijah, Hana Jihad Jihad, Aburuz, Salahdein, Abu-Zaid, Ahmed, Adane, Mesafint Molla, Addo, Isaac Yeboah, Addolorato, Giovanni, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adibi, Amin, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afolabi, Rotimi Felix, Afshin, Ashkan, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agbozo, Faith, Aghamiri, Shahin, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Noah, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Safoora, Ahmed, Syed Anees, Ajami, Marjan, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Akombi-Inyang, Blessing, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Nazmul, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, AlBataineh, Mohammad T, Aldhaleei, Wafa A, Aldridge, Robert W, Alemayohu, Mulubirhan Assefa, Alemu, Yihun Mulugeta, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Al-Habbal, Khairat, Alhabib, Khalid F, Alhassan, Robert Kaba, Ali, Abid, Ali, Amjad, Ali, Beriwan Abdulqadir, Ali, Iman, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Waad, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Al-Marwani, Sabah, Al-Mekhlafi, Hesham M, Almustanyir, Sami, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Raddadi, Rajaa M, Alrawashdeh, Ahmad, Al-Rifai, Rami Hani, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Al-Zyoud, Walid, Amaechi, Uchenna Anderson, Aman Mohammadi, Masous, Amani, Reza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Ammirati, Enrico, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Anenberg, Susan C, Angappan, Dhanalakshmi, Angus, Colin, Anil, Abhishek, Anil, Sneha, Anjum, Afifa, Anoushiravani, Amir, Antonazzo, Ippazio Cosimo, Antony, Catherine M, Antriyandarti, Ernoiz, Anuoluwa, Boluwatife Stephen, Anvari, Davood, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyabolo, Ekenedilichukwu Emmanuel, Anyasodor, Anayochukwu Edward, Apostol, Geminn Louis Carace, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafat, Mosab, Areda, Demelash, Aregawi, Brhane Berhe, Aremu, Abdulfatai, Armocida, Benedetta, Arndt, Michael Benjamin, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Aruleba, Idowu Thomas, Arumugam, Ashokan, Asbeutah, Akram M, Asgary, Saeed, Asgedom, Akeza Awealom, Ashbaugh, Charlie, Ashemo, Mubarek Yesse, Ashraf, Tahira, Askarinejad, Amir, Assmus, Michael, Astell-Burt, Thomas, Athar, Mohammad, Athari, Seyyed Shamsadin, Atorkey, Prince, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awoke, Andargie Abate, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayestas Portugal, Carlos, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azevedo, Rui M S, Azhar, Gulrez Shah, Azizi, Hosein, Azzam, Ahmed Y, Backhaus, Insa Linnea, Badar, Muhammad, Badiye, Ashish D, Bagga, Arvind, Baghdadi, Soroush, Bagheri, Nasser, Bagherieh, Sara, Bahrami Taghanaki, Pegah, Bai, Ruhai, Baig, Atif Amin, Baker, Jennifer L, Bakkannavar, Shankar M, Balasubramanian, Madhan, Baltatu, Ovidiu Constantin, Bam, Kiran, Bandyopadhyay, Soham, Banik, Biswajit, Banik, Palash Chandra, Banke-Thomas, Aduragbemi, Bansal, Hansi, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrero, Lope H, Barrow, Amadou, Barteit, Sandra, Basharat, Zarrin, Basiru, Afisu, Basso, João Diogo, Bastan, Mohammad-Mahdi, Basu, Sanjay, Batchu, Sai, Batra, Kavita, Batra, Ravi, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Beaney, Thomas, Behnoush, Amir Hossein, Beiranvand, Maryam, Béjot, Yannick, Bekele, Alehegn, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Bell, Michelle L, Bello, Muhammad Bashir, Bello, Olorunjuwon Omolaja, Belo, Luis, Beloukas, Apostolos, Bendak, Salaheddine, Bennett, Derrick A, Bennitt, Fiona B, Bensenor, Isabela M, Benzian, Habib, Beran, Azizullah, Berezvai, Zombor, Bernabe, Eduardo, Bernstein, Robert S, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhuiyan, Mohiuddin Ahmed, Bhutta, Zulfiqar A, Bikbov, Boris, Bishai, Jessica Devin, Bisignano, Catherine, Biswas, Atanu, Biswas, Bijit, Biswas, Raaj Kishore, Bjørge, Tone, Boachie, Micheal Kofi, Boakye, Hosea, Bockarie, Moses John, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bolla, Srinivasa Rao, Boloor, Archith, Bonakdar Hashemi, Milad, Boppana, Sri Harsha, Bora Basara, Berrak, Borhany, Hamed, Botero Carvajal, Alejandro, Bouaoud, Souad, Boufous, Soufiane, Bourne, Rupert, Boxe, Christopher, Braithwaite, Dejana, Brant, Luisa C, Brar, Amanpreet, Breitborde, Nicholas J K, Breitner, Susanne, Brenner, Hermann, Briko, Andrey Nikolaevich, Britton, Gabrielle, Brown, Colin Stewart, Browne, Annie J, Brunoni, Andre R, Bryazka, Dana, Bulamu, Norma B, Bulto, Lemma N, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cagney, Jack, Cahuana-Hurtado, Lucero, Calina, Daniela, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Chao, Cao, Fan, Cao, Yubin, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carrero, Juan J, Carugno, Andrea, Carvalho, Felix, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catalá-López, Ferrán, Catapano, Alberico L, Cattaruzza, Maria Sofia, Caye, Arthur, Cederroth, Christopher R, Cegolon, Luca, Cenderadewi, Muthia, Cercy, Kelly M, Cerin, Ester, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Promit Ananyo, Chakraborty, Sandip, Chan, Jeffrey Shi Kai, Chan, Raymond N C, Chandan, Joht Singh, Chandika, Rama Mohan, Chaturvedi, Pankaj, Chen, An-Tian, Chen, Catherine S, Chen, Haowei, Chen, Meng Xuan, Chen, Mingling, Chen, Simiao, Cheng, Ching-Yu, Cheng, Esther T W, Cherbuin, Nicolas, Chi, Gerald, Chichagi, Fatemeh, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Chirinos-Caceres, Jesus Lorenzo, Chitheer, Abdulaal, Cho, William C S, Chong, Bryan, Chopra, Hitesh, Chowdhury, Rajiv, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Chung, Sheng-Chia, Chutiyami, Muhammad, Cioffi, Iolanda, Cogen, Rebecca M, Cohen, Aaron J, Columbus, Alyssa, Conde, Joao, Corlateanu, Alexandru, Cortese, Samuele, Cortesi, Paolo Angelo, Costa, Vera Marisa, Costanzo, Simona, Criqui, Michael H, Cruz, Jessica A, Cruz-Martins, Natália, Culbreth, Garland T, da Silva, Alanna Gomes, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, Daikwo, Patience Unekwuojo, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, D'Anna, Lucio, Darwesh, Aso Mohammad, Das, Jai K, Das, Subasish, Dash, Nihar Ranjan, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, Davitoiu, Dragos Virgil, De la Hoz, Fernando Pio, de la Torre-Luque, Alejandro, De Leo, Diego, Debopadhaya, Shayom, Degenhardt, Louisa, Del Bo', Cristian, Delgado-Enciso, Ivan, Delgado-Saborit, Juana Maria, Demoze, Chalachew Kassaw, Denova-Gutiérrez, Edgar, Dervenis, Nikolaos, Dervišević, Emina, Desai, Hardik 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Mapa Prabhath, Plass, Dietrich, Plotnikov, Evgenii, Poddighe, Dimitri, Polkinghorne, Kevan R, Poluru, Ramesh, Pond, Constance Dimity, Popovic, Djordje S, Porru, Fabio, Postma, Maarten J, Poudel, Govinda Raj, Pour-Rashidi, Ahmad, Pourshams, Akram, Pourtaheri, Naeimeh, Prabhu, Disha, Prada, Sergio I, Pradhan, Jalandhar, Pradhan, Pranil Man Singh, Prasad, Manya, Prates, Elton Junio Sady, Purnobasuki, Hery, Purohit, Bharathi M, Puvvula, Jagadeesh, Qasim, Nameer Hashim, Qattea, Ibrahim, Qazi, Asma Saleem, Qian, Gangzhen, Qiu, Suli, Rabiee Rad, Mehrdad, Radfar, Amir, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Raeisi Shahraki, Hadi, Rafferty, Quinn, Rafiei, Alireza, Raggi, Alberto, Raghav, Pankaja Raghav, Raheem, Nasiru, Rahim, Fakher, Rahim, Md Jillur, Rahimifard, Mahban, Rahimi-Movaghar, Vafa, Rahman, Md Obaidur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Bita, Rahmanian, Mohammad, Rahmanian, Nazanin, Rahmanian, Vahid, Rahmati, Masoud, Rahmawaty, Setyaningrum, Raimondo, Diego, Rajaa, Sathish, Rajendran, Vinoth, Rajput, Prashant, Ramadan, Mahmoud Mohammed, Ramasamy, Shakthi Kumaran, Ramasubramani, Premkumar, Ramazanu, Sheena, Ramteke, Pramod W, Rana, Juwel, Rana, Kritika, Ranabhat, Chhabi Lal, Rane, Amey, Rani, Usha, Ranta, Annemarei, Rao, Chythra R, Rao, Mithun, Rao, Puja C, Rao, Sowmya J, Rasella, Davide, Rashedi, Sina, Rashedi, Vahid, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Rasouli-Saravani, Ashkan, Ratan, Zubair Ahmed, Rathnaiah Babu, Giridhara, Rauniyar, Santosh Kumar, Rautalin, Ilari, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Razo, Christian, Reda, Zinabu Ferede Ferede, Reddy, Murali Mohan Rama Krishna, Redwan, Elrashdy Moustafa Mohamed, Reifels, Lennart, Reitsma, Marissa B, Remuzzi, Giuseppe, Reshmi, Bhageerathy, Resnikoff, Serge, Restaino, Stefano, Reyes, Luis Felipe, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Negar, Rezaeian, Mohsen, Rhee, Taeho Gregory, Riaz, Mavra A, Ribeiro, Antonio Luiz P, Rickard, Jennifer, Robinson-Oden, Hannah Elizabeth, Rodrigues, Célia Fortuna, Rodrigues, Mónica, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Romadlon, Debby Syahru, Ronfani, Luca, Rosauer, Jennifer Jacqueline, Roshandel, Gholamreza, Rostamian, Morteza, Rotimi, Kunle, Rout, Himanshu Sekhar, Roy, Bedanta, Roy, Nitai, Rubagotti, Enrico, Ruela, Guilherme de Andrade, Rumisha, Susan Fred, Runghien, Tilleye, Russo, Michele, Ruzzante, Sacha Walde, S N, Chandan, Saad, Aly M A, Saber, Korosh, Saber-Ayad, Maha Mohamed, Sabour, Siamak, Sacco, Simona, Sachdev, Perminder S, Sachdeva, Rajesh, Saddik, Basema, Saddler, Adam, Sadee, Bashdar Abuzed, Sadeghi, Ehsan, Sadeghi, Masoumeh, Sadeghi Majd, Elham, Saeb, Mohammad Reza, Saeed, Umar, Safari, Mehdi, Safi, Sare, Safi, Sher Zaman, Sagar, Rajesh, Sagoe, Dominic, Saheb Sharif-Askari, Fatemeh, Saheb Sharif-Askari, Narjes, Sahebkar, Amirhossein, Sahoo, Soumya Swaroop, Sahu, Monalisha, Saif, Zahra, Sajid, Mirza Rizwan, Sakshaug, Joseph W, Salam, Nasir, Salamati, Payman, Salami, Afeez Abolarinwa, Salaroli, Luciane B, Salehi, Leili, Salehi, Sana, Salem, Marwa Rashad, Salem, Mohammed Z Y, Salihu, Dauda, Salimi, Sohrab, Salum, Giovanni A, Samadi Kafil, Hossein, Samadzadeh, Sara, Samodra, Yoseph Leonardo, Samuel, Vijaya Paul, Samy, Abdallah M, Sanabria, Juan, Sanjeev, Rama Krishna, Sanna, Francesca, Santomauro, Damian Francesco, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Saraswathy, Sivan Yegnanarayana Iyer, Saravanan, Aswini, Saravi, Babak, Sarikhani, Yaser, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sartorius, Benn, Sarveazad, Arash, Sathian, Brijesh, Sattin, Davide, Sawhney, Monika, Saya, Ganesh Kumar, Sayeed, Abu, Sayeed, Md Abu, Sayyah, Mehdi, Schinckus, Christophe, Schmidt, Maria Inês, Schuermans, Art, Schumacher, Austin E, Schutte, Aletta Elisabeth, Schwarzinger, Michaël, Schwebel, David C, Schwendicke, Falk, Selvaraj, Siddharthan, Semreen, Mohammad H, Senthilkumaran, Subramanian, Serban, Dragos, Serre, Marc L, Sethi, Yashendra, Shafie, Mahan, Shah, Humaira, Shah, Nilay S, Shah, Pritik A, Shah, Syed Mahboob, Shahbandi, Ataollah, Shaheen, Amira A, Shahid, Samiah, Shahid, Wajeehah, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shaikh, Summaiya Zareen, Shalash, Ali S, Sham, Sunder, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamshirgaran, Mohammad Ali, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Sharfaei, Sadaf, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Manoj, Sharma, Ujjawal, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shehabeldine, Amr Mohamed Elsayed, Shehzadi, Somia, Sheikh, Aziz, Shen, Jiabin, Shetty, Adithi, Shetty, B Suresh Kumar, Shetty, Pavanchand H, Shiani, Amir, Shiferaw, Desalegn, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shittu, Aminu, Shiue, Ivy, Shivakumar, K M, Shivarov, Velizar, Shool, Sina, Shorofi, Seyed Afshin, Shrestha, Rajan, Shrestha, Sunil, Shuja, Kanwar Hamza, Shuval, Kerem, Si, Yafei, Siddig, Emmanuel Edwar, Silva, Diego Augusto Santos, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Silva, Thales Philipe R, Simpson, Colin R, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Baljinder, Singh, Garima, Singh, Harmanjit, Singh, Jasvinder A, Singh, Mahendra, Singh, Narinder Pal, Singh, Paramdeep, Singh, Surjit, Sinto, Robert, Sivakumar, Shravan, Siwal, Samarjeet Singh, Skhvitaridze, Natia, Skou, Søren T, Sleet, David A, Sobia, Farrukh, Soboka, Matiwos, Socea, Bogdan, Solaimanian, Shahabaddin, Solanki, Ranjan, Solanki, Shipra, Soliman, Sameh S M, Somayaji, Ranjani, Song, Yi, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Spearman, Sandra, Spencer, Cory N, Sreeramareddy, Chandrashekhar T, Stachteas, Panagiotis, Stafford, Lauryn K, Stanaway, Jeffrey D, Stanikzai, Muhammad Haroon, Stein, Caroline, Stein, Dan J, Steinbeis, Fridolin, Steiner, Caitlyn, Steinke, Sabine, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Straif, Kurt, Stranges, Saverio, Subedi, Narayan, Subramaniyan, Vetriselvan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sundström, Johan, Sunkersing, David, Sunnerhagen, Katharina S, Suresh, Vinay, Swain, Chandan Kumar, Szarpak, Lukasz, Szeto, Mindy D, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabche, Celine, Tabish, Mohammad, Tadakamadla, Santosh Kumar, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taherkhani, Amir, Taiba, Jabeen, Takahashi, Ken, Talaat, Iman M, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tat, Nathan Y, Taveira, Nuno, Tefera, Yibekal Manaye, Tehrani-Banihashemi, Arash, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Teramoto, Masayuki, Terefa, Dufera Rikitu, Teye-Kwadjo, Enoch, Thakur, Ramna, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Nihal, Thomas, Nikhil Kenny, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tolani, Musliu Adetola, Tolossa, Tadesse, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Fotis, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Trabelsi, Khaled, Tran, Jasmine T, Tran, Mai Thi Ngoc, Tran, Nghia Minh, Trico, Domenico, Trihandini, Indang, Troeger, Christopher E, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Saeed, Ullah, Sana, Umair, Muhammad, Umakanthan, Srikanth, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vaithinathan, Asokan Govindaraj, Vakili, Omid, Valenti, Mario, Valizadeh, Rohollah, Van den Eynde, Jef, van Donkelaar, Aaron, Varga, Orsolya, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Venketasubramanian, Narayanaswamy, Verghese, Nicholas Alexander, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Villalobos-Daniel, Victor E, Villani, Leonardo, Villanueva, Gabriela Ines, Vinayak, Manish, Violante, Francesco S, Vlassov, Vasily, Vo, Bay, Vollset, Stein Emil, Volovat, Simona Ruxandra, Vos, Theo, Vujcic, Isidora S, Waheed, Yasir, Wang, Cong, Wang, Fang, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Wanjau, Mary Njeri, Waqas, Muhammad, Ward, Paul, Waris, Abdul, Wassie, Emebet Gashaw, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weiss, Daniel J, Weiss, Eli J, Weldetinsaa, Haftom Legese Legese, Wells, Katherine M, Wen, Yi Feng, Wiangkham, Taweewat, Wickramasinghe, Nuwan Darshana, Wilkerson, Caroline, Willeit, Peter, Wilson, Shadrach, Wong, Yen Jun, Wongsin, Utoomporn, Wozniak, Sarah, Wu, Chenkai, Wu, Dongze, Wu, Felicia, Wu, Zenghong, Xia, Juan, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadav, Mukesh Kumar, Yaghoubi, Sajad, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yaribeygi, Habib, Yasufuku, Yuichi, Ye, Pengpeng, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yezli, Saber, Yi, Siyan, Yiğit, Arzu, Yigzaw, Zeamanuel Anteneh, Yin, Dehui, Yip, Paul, Yismaw, Malede Berihun, Yon, Dong Keon, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Zadey, Siddhesh, Zadnik, Vesna, Zakham, Fathiah, Zaki, Nazar, Zakzuk, Josefina, Zamagni, Giulia, Zaman, Sojib Bin, Zandieh, Ghazal G Z, Zanghì, Aurora, Zar, Heather J, Zare, Iman, Zarimeidani, Fatemeh, Zastrozhin, Mikhail Sergeevich, Zeng, Youjie, Zhai, Chunxia, Zhang, Anthony Lin, Zhang, Haijun, Zhang, Liqun, Zhang, Meixin, Zhang, Yunquan, Zhang, Zhenyu, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhao, Jeff T, Zhao, Xiu-Ju George, Zhao, Yang, Zhao, Yong, Zhong, Chenwen, Zhou, Jingjing, Zhou, Juexiao, Zhou, Shangcheng, Zhu, Bin, Zhu, Lei, Zhu, Zhaohua, Ziaeian, Boback, Ziafati, Makan, Zielińska, Magdalena, Zimsen, Stephanie R M, Zoghi, Ghazal, Zoller, Thomas, Zumla, Alimuddin, Zyoud, Sa'ed H, Zyoud, Samer H, Murray, Christopher J L, and Gakidou, Emmanuela
Published: 2024
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