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2,370 results on '"Haejin In"'

1. Combination of Immunotherapy and Radiation Therapy in Gastrointestinal Cancers: An Appraisal of the Current Literature and Ongoing Research

Author

Ritesh Kumar, Jongmyung Kim, Matthew P. Deek, Mariam F. Eskander, Prateek Gulhati, Haejin In, Timothy Kennedy, Mihir M. Shah, Miral S. Grandhi, Lyudmyla Berim, Kristen R. Spencer, Russell C. Langan, Howard S. Hochster, Patrick M. Boland, and Salma K. Jabbour

Subjects
immunotherapy, radiation, PD L1, immune checkpoint inhibitors, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Oncological outcomes are improving in gastrointestinal cancer with advancements in systemic therapies, and there is notable potential in combining immunotherapy and radiation therapy (RT) to allow for further improvements. Various preclinical and early phase II studies have shown promising synergy with immunotherapy and RT in gastrointestinal cancer. A few recent phase III studies have shown improved survival with the addition of immunotherapy to standard treatment for gastrointestinal cancer. The timing, duration, sequencing, and integration with other anti-cancer treatments are still areas of ongoing research. We have reviewed the published and ongoing studies of the combinations of immunotherapy and RT in gastrointestinal cancers.

Published
2023
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2. Recurrence‐free survival dynamics following adjuvant chemotherapy for resected colorectal cancer: A systematic review of randomized controlled trials

Author

Emma Vail, Ankur P. Choubey, H. Richard Alexander, David A. August, Abril Berry, Patrick M. Boland, Mariam F. Eskander, Miral S. Grandhi, Brittany Haliani, Haejin In, Timothy J. Kennedy, Russell C. Langan, Jason C. Maggi, Henry A. Pitt, Shridar Ganesan, and Brett L. Ecker

Subjects
adenocarcinoma, adjuvant therapy, chemotherapy, colon cancer, rectal cancer, recurrence, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Several cytotoxic chemotherapies have demonstrated efficacy in improving recurrence‐free survival (RFS) following resection of Stage II–IV colorectal cancer (CRC). However, the temporal dynamics of response to such adjuvant therapy have not been systematically quantified. Methods The Cochrane Central Register of Trials, Medline (PubMed) and Web of Science were queried from database inception to February 23, 2023 for Phase III randomized controlled trials (RCTs) where there was a significant difference in RFS between adjuvant chemotherapy and surgery only arms. Summary data were extracted from published Kaplan–Meier curves using DigitizeIT. Absolute differences in RFS event rates were compared at matched intervals using multiple paired t‐tests. Results The initial search yielded 1469 manuscripts. After screening, 18 RCTs were eligible (14 Stage II/III; 4 Stage IV), inclusive of 16,682 patients. In the absence of adjuvant chemotherapy, the greatest rate of recurrence was observed in the first year (mean RFS event rate; 0–0.5 years: 0.22 ± 0.21; 0.5–1 years: 0.20 ± 0.09). Adjuvant chemotherapy was associated with significant decreases in the RFS event rates for the intervals 0–0.5 years (0.09 ± 0.09 vs. 0.22 ± 0.21, p

Published
2024
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3. Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions

Author

You, Zhiwen, Lee, HaeJin, Mishra, Shubhanshu, Jeoung, Sullam, Mishra, Apratim, Kim, Jinseok, and Diesner, Jana

Subjects
Computer Science - Computation and Language
Abstract

Name-based gender prediction has traditionally categorized individuals as either female or male based on their names, using a binary classification system. That binary approach can be problematic in the cases of gender-neutral names that do not align with any one gender, among other reasons. Relying solely on binary gender categories without recognizing gender-neutral names can reduce the inclusiveness of gender prediction tasks. We introduce an additional gender category, i.e., "neutral", to study and address potential gender biases in Large Language Models (LLMs). We evaluate the performance of several foundational and large language models in predicting gender based on first names only. Additionally, we investigate the impact of adding birth years to enhance the accuracy of gender prediction, accounting for shifting associations between names and genders over time. Our findings indicate that most LLMs identify male and female names with high accuracy (over 80%) but struggle with gender-neutral names (under 40%), and the accuracy of gender prediction is higher for English-based first names than non-English names. The experimental results show that incorporating the birth year does not improve the overall accuracy of gender prediction, especially for names with evolving gender associations. We recommend using caution when applying LLMs for gender identification in downstream tasks, particularly when dealing with non-binary gender labels., Comment: Accepted at ACL 2024, GeBNLP Workshop

Published
2024

8. Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models

Author

Lee, Haejin, Ju, Jeongwoo, Lee, Jonghyuck, Lee, Yeoun Joo, and Jung, Heechul

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Wireless capsule endoscopy (WCE) is a non-invasive method for visualizing the gastrointestinal (GI) tract, crucial for diagnosing GI tract diseases. However, interpreting WCE results can be time-consuming and tiring. Existing studies have employed deep neural networks (DNNs) for automatic GI tract lesion detection, but acquiring sufficient training examples, particularly due to privacy concerns, remains a challenge. Public WCE databases lack diversity and quantity. To address this, we propose a novel approach leveraging generative models, specifically the diffusion model (DM), for generating diverse WCE images. Our model incorporates semantic map resulted from visualization scale (VS) engine, enhancing the controllability and diversity of generated images. We evaluate our approach using visual inspection and visual Turing tests, demonstrating its effectiveness in generating realistic and diverse WCE images.

Published
2023

14. Using Machine Learning Explainability Methods to Personalize Interventions for Students

Author

Hur, Paul, Lee, HaeJin, Bhat, Suma, and Bosch, Nigel

Abstract

Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable approach for resolving this issue by personalizing learning using explanations of predictions generated via machine learning explainability methods. We tested the approach in a self-guided, self-paced online learning system for college-level introductory statistics topics that provided personalized interventions for encouraging self-regulated learning behaviors. The system used explanations generated by SHAP (SHapley Additive exPlanations) to recommend specific actions for students to take based on features that most negatively influenced predicted learning outcomes; an "expert system" comparison condition provided recommendations based on predefined rules. A randomized controlled trial of 73 participants (37 expert-system condition, 36 explanation condition) revealed similar learning and topic-choosing behavior between conditions, suggesting that XAI-informed interventions facilitated student statistics learning to a similar degree as expert-system interventions. [For the full proceedings, see ED623995.]

Published
2022

26. Mitochondrial Biomarkers and Metabolic Syndrome in Bipolar Disorder

Author

Etain, B., Olié, E., Leboyer, M., Haffen, E., Llorca, PM, Barteau, V., Bensalem, S., Godin, O., Laouamri, H., Souryis, K., Hotier, S., Pelletier, A., Hergeta, F., Petrucci, J., Willaume, L., Bellivier, F., Hennion, V., Marlinge, E., Meheust, J., Richard, A., Carminati, M., Francisque, H., Dubertret, C., Mazer, N., Portalier, C., Scognamiglio, C., Bing, A., Laurent, P., Gard, S., M'Bailara, K., Elkael, C., Hoorelbeke, F., Minois, I., Sportich, J., Da Ros, N., Boukhobza, L., Courtet, P., Denat, S., Deffinis, B., Ducasse, D., Gachet, M., Lengvenyté, A., Molière, F., Nass, L., Tarquini, G., Lefrere, A., Moreau, E., Pastol, J., Groppi, F., Polomeni, H., Bauberg, J, Lescalier, L., Muraccioli, I., Suray, A., Cohen, R., Kahn, J.P., Milazzo, M., Wajsbrot-Elgrabli, O., Bougerol, T., Pouchon, A., Bertrand, A, Fredembach, B., Suisse, A., Denoual, Q, Polosan, M, Galliot, A.M., Brehon, L., Bonny, G, Durand, L, Feuga, V, Kayser, N., Roux, P., Aubin, V., Cussac, I., Dupont, M.A, Loftus, J., Medecin, I., Samalin, L., Llorca, PM., Mennetrier, M., Bonnet, T., Lacelle, D., Vayssié, M., Beal, C., Blanc, O., Zachos, Kassandra A., Choi, Jaehyoung, Godin, Ophelia, Chernega, Timofei, Kwak, Haejin Angela, Jung, Jae H., Aouizerate, Bruno, Aubin, Valérie, Bellivier, Frank, Belzeaux-R, Raoul, Courtet, Philippe, Dubertret, Caroline, Etain, Bruno, Haffen, Emmanuel, Lefrere A, Antoine, Llorca, Pierre-Michel, Olié, Emilie, Polosan, Mircea, Samalin, Ludovic, Schwan, Raymund, Roux, Paul, Barau, Caroline, Richard, Jean Romain, Tamouza, Ryad, Leboyer, Marion, and Andreazza, Ana C.

Published
2024
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27. A pediatric randomized, controlled trial of German cockroach subcutaneous immunotherapy

Author

Zoratti, Edward, Wood, Robert, Pomés, Anna, Da Silva Antunes, Ricardo, Altman, Matthew C., Benson, Basilin, Wheatley, Lisa M., Cho, Kate, Calatroni, Agustin, Little, Frederic F., Pongracic, J., Makhija, Melanie, Khurana Hershey, Gurjit K., Sherenian, Michael G., Rivera-Spoljaric, Katherine, Stokes, Jeffrey R., Gill, Michelle A., Gruchalla, Rebecca S., Chambliss, Jeffrey, Liu, Andrew H., Kattan, Meyer, Busse, Paula J., Bacharier, Leonard B., Sheehan, William, Kim, Haejin., Glesner, Jill, Gergen, Peter J., Togias, Alkis, Baucom, Jessica L., Visness, Cynthia M., Sette, Alessandro, Busse, William W., and Jackson, Daniel J.

Published
2024
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32. Heritable vaginal bacteria influence immune tolerance and relate to early-life markers of allergic sensitization in infancy

Author

McCauley, Kathryn E, Rackaityte, Elze, LaMere, Brandon, Fadrosh, Douglas W, Fujimura, Kei E, Panzer, Ariane R, Lin, Din L, Lynch, Kole V, Halkias, Joanna, Mendoza, Ventura F, Burt, Trevor D, Bendixsen, Casper, Barnes, Kathrine, Kim, Haejin, Jones, Kyra, Ownby, Dennis R, Johnson, Christine C, Seroogy, Christine M, Gern, James E, Boushey, Homer A, Lynch, Susan V, and Workgroup, for the ECHO Children’s Respiratory and Environmental

Subjects
Biomedical and Clinical Sciences, Asthma, Prevention, Pediatric, Lung, Clinical Research, Aetiology, 2.2 Factors relating to the physical environment, 2.1 Biological and endogenous factors, Infection, Inflammatory and immune system, Respiratory, Good Health and Well Being, Animals, Bacteria, Female, Gastrointestinal Microbiome, Humans, Hypersensitivity, Immediate, Immune Tolerance, Immunoglobulin E, Infant, Mice, Pregnancy, ECHO Children’s Respiratory and Environmental Workgroup, Lactobacillus, asthma, atopy, immune tolerance, inherited bacteria, microbiota, prenatal, transmission, vaginal, vaginal microbiota, Biomedical and clinical sciences
Abstract

Maternal asthma status, prenatal exposures, and infant gut microbiota perturbation are associated with heightened risk of atopy and asthma risk in childhood, observations hypothetically linked by intergenerational microbial transmission. Using maternal vaginal (n = 184) and paired infant stool (n = 172) samples, we identify four compositionally and functionally distinct Lactobacillus-dominated vaginal microbiota clusters (VCs) that relate to prenatal maternal health and exposures and infant serum immunoglobulin E (IgE) status at 1 year. Variance in bacteria shared between mother and infant pairs relate to VCs, maternal allergy/asthma status, and infant IgE levels. Heritable bacterial gene pathways associated with infant IgE include fatty acid synthesis and histamine and tryptophan degradation. In vitro, vertically transmitted Lactobacillus jensenii strains induce immunosuppressive phenotypes on human antigen-presenting cells. Murine supplementation with L. jensenii reduces lung eosinophils, neutrophilic expansion, and the proportion of interleukin-4 (IL-4)+ CD4+ T cells. Thus, bacterial and atopy heritability are intimately linked, suggesting a microbial component of intergenerational disease transmission.

Published
2022

33. Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning

Author

Shibano, Toshiko, Zhang, Xinyi, Li, Mia Taige, Cho, Haejin, Sullivan, Peter, and Abdul-Mageed, Muhammad

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

To address the performance gap of English ASR models on L2 English speakers, we evaluate fine-tuning of pretrained wav2vec 2.0 models (Baevski et al., 2020; Xu et al., 2021) on L2-ARCTIC, a non-native English speech corpus (Zhao et al., 2018) under different training settings. We compare \textbf{(a)} models trained with a combination of diverse accents to ones trained with only specific accents and \textbf{(b)} results from different single-accent models. Our experiments demonstrate the promise of developing ASR models for non-native English speakers, even with small amounts of L2 training data and even without a language model. Our models also excel in the zero-shot setting where we train on multiple L2 datasets and test on a blind L2 test set., Comment: All authors contributed equally. Paper accepted to International Conference on Natural Language and Speech Processing 2021 (ICNLSP 2021)

Published
2021

44. Gene-based association study of rare variants in children of diverse ancestries implicates TNFRSF21 in the development of allergic asthma

Author

Clay, Selene, Alladina, Jehan, Smith, Neal P., Visness, Cynthia M., Wood, Robert A., O’Connor, George T., Cohen, Robyn T., Khurana Hershey, Gurjit K., Kercsmar, Carolyn M., Gruchalla, Rebecca S., Gill, Michelle A., Liu, Andrew H., Kim, Haejin, Kattan, Meyer, Bacharier, Leonard B., Rastogi, Deepa, Rivera-Spoljaric, Katherine, Robison, Rachel G., Gergen, Peter J., Busse, William W., Villani, Alexandra-Chloe, Cho, Josalyn L., Medoff, Benjamin D., Gern, James E., Jackson, Daniel J., Ober, Carole, and Dapas, Matthew

Published
2024
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47. Economic Development Along the New Silk Road: A Vehicle for Driving Sustainable Tourism

Author

Sabacan, Redeem Faith, Nguyen, Hong Hanh, Eijdenberg, Emiel L., Jang, Haejin, Thirumaran, K., Wood, Jacob, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Herrera-Franco, Gricelda, editor, Wood, Jacob, editor, and Al-Kodmany, Kheir, editor

Published
2023
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48. The Eurasian Economic Union and Silk Road Tourism: Qualifying Resources, Amplifying Messages

Author

Thirumaran, K., Sabacan, Redeem Faith, Pourabedin, Zahra, Nguyen, Hong Hanh, Jang, Haejin, Atkinson, Benedict, Wood, Jacob, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Herrera-Franco, Gricelda, editor, Wood, Jacob, editor, and Al-Kodmany, Kheir, editor

Published
2023
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49. The Role of the Belt and Road Initiative in Driving Tourism in the Post COVID-19 Era

Author

Wood, Jacob, Jang, Haejin, Pourabedin, Zahra, Sabacan, Redeem, Atkinson, Benedict, Nguyen, Hong Hanh, Thirumaran, K., Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Herrera-Franco, Gricelda, editor, Wood, Jacob, editor, and Al-Kodmany, Kheir, editor

Published
2023
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