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51. Circulating tumour DNA (ctDNA) burden quantified through low-pass whole genome sequencing as an early pharmacodynamic biomarker of therapeutic response in patients enrolled on phase 1 trials.

Author

Tan, Aaron C., primary, Guo, Yu Amanda, additional, Rahman, Chowdhury Rafeed, additional, Tan, Tira Jing Ying, additional, Saw, Stephanie Pei Li, additional, Lee, David Dai-Wee, additional, Lam, Justina Yick Ching, additional, Tai, Wai Meng David, additional, Tan, Sharmaine Jia Xin, additional, Boey Ya Wen, Matilda Ya Wen, additional, Carolyn, Christine, additional, Yong, Mei Xuan, additional, Kuan, Pamela Shi Ying, additional, Carrie, Hanae Camille, additional, Yeo, Jia Chi, additional, Tan, Iain Bee Huat, additional, Curigliano, Giuseppe, additional, Ng, Matthew C.H., additional, Tan, Daniel Shao-Weng, additional, and Skanderup, Anders, additional

Published
2023
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52. Identifying correlates of post treatment responses for unresectable locally advanced non-small cell lung cancer (LA NSCLC).

Author

Chua, Kevin Lee Min, primary, Lai, Gillianne, additional, Tan, Aaron C., additional, Saw, Stephanie Pei Li, additional, Tan, Wan Ling, additional, Jain, Amit, additional, Chia, Brendan Seng Hup, additional, Li, Youquan, additional, Fong, Kam-Weng, additional, Siow, Siow Tian, additional, Ng, Quan Sing, additional, Thiagarajan, Anuradha, additional, Kanesvaran, Ravindran, additional, Ng, Wee Loon, additional, Lim, Darren Wan-Teck, additional, Yip, Connie Siew Poh, additional, Skanderup, Anders, additional, Tan, Sze Huey, additional, Ang, Mei-Kim, additional, and Tan, Daniel Shao-Weng, additional

Published
2023
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55. Dearth of smoking-induced mutations in NSRO-driven non-small-cell lung cancer despite smoking exposure

Author

Huang, Chen-Yang, primary, Jiang, Nanhai, additional, Shen, Meixin, additional, Lai, Gillianne, additional, Tan, Aaron C., additional, Jain, Amit, additional, Saw, Stephanie P., additional, Ang, Mei-Kim, additional, Ng, Quan Sing, additional, Lim, Darren Wan-Teck, additional, Kanesvaran, Ravindran, additional, Tan, Eng-Huat, additional, Tan, Wan Ling, additional, Ong, Boon-Hean, additional, Chua, Kevin L., additional, Anantham, Devanand, additional, Takano, Angela, additional, Lim, Tony K.H., additional, Tam, Wai Leong, additional, Sim, Ngak Leng, additional, Skanderup, Anders J., additional, Tan, Daniel S.W., additional, and Rozen, Steven G., additional

Published
2023
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56. Individualized Molecular Profiling for Allocation to Clinical Trials Singapore Study—An Asian Tertiary Cancer Center Experience

Author

Seet, Amanda O. L., Tan, Aaron C., Tan, Tira J., Ng, Matthew C. H., Tai, David W. M., Lam, Justina Y. C., Tan, Gek San, Gogna, Apoorva, Too, Chow Wei, Tan, Bien Soo, Takano, Angela, Lim, Alvin, Lim, Tse Hui, Lim, Soon Thye, Dent, Rebecca Alexandra, Ang, Mei Kim, Yap, Yoon-Sim, Tan, Iain B. H., Choo, Su Pin, Toh, Chee Keong, Lim, Elaine H., Farid, Mohamad, Skanderup, Anders Jacobsen, Iyer, N. Gopalakrishna, Lim, Wan Teck, Tan, Eng Huat, Lim, Tony K. H., and Tan, Daniel S. W.

Published
2021
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61. The Palgrave Handbook of Asian Cinema

Author

Aaron Han Joon Magnan-Park, Gina Marchetti, See Kam Tan, Aaron Han Joon Magnan-Park, Gina Marchetti, See Kam Tan and Aaron Han Joon Magnan-Park, Gina Marchetti, See Kam Tan, Aaron Han Joon Magnan-Park, Gina Marchetti, See Kam Tan

Published
2018

62. Deep learning model to identify homonymous defects on automated perimetry.

Author

Hao Tan, Aaron, Donaldson, Laura, Moolla, Luqmaan, Pereira, Austin, and Margolin, Edward

Abstract

Background Homonymous visual field (VF) defects are usually an indicator of serious intracranial pathology but may be subtle and difficult to detect. Artificial intelligence (AI) models could play a key role in simplifying the detection of these defects. This study aimed to develop an automated deep learning AI model to accurately identify homonymous VF defects from automated perimetry. Methods VFs performed on Humphrey field analyser (24–2 algorithm) were collected and run through an in-house optical character recognition program that extracted mean deviation data and prepared it for use in the proposed AI model. The deep learning AI model, Deep Homonymous Classifier, was developed using PyTorch framework and used convolutional neural networks to extract spatial features for binary classification. Total collected dataset underwent 7-fold cross validation for model training and evaluation. To address dataset class imbalance, data augmentation techniques and state-ofthe-art loss function that uses complement cross entropy were used to train and enhance the proposed AI model. Results The proposed model was evaluated using 7-fold cross validation and achieved an average accuracy of 87% for detecting homonymous VF defects in previously unseen VFs. Recall, which is a critical value for this model as reducing false negatives is a priority in disease detection, was found to be on average 92%. The calculated F2 score for the proposed model was 0.89 with a Cohen’s kappa value of 0.70. Conclusion This newly developed deep learning model achieved an overall average accuracy of 87%, making it highly effective in identifying homonymous VF defects on automated perimetry. [ABSTRACT FROM AUTHOR]

Published
2023
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63. Implementation of the South Australian Regional Telestroke service is associated with improved care quality and lower stroke mortality: A retrospective cohort study.

Author

Goh, Rudy, Hillier, Susan, Kelly, Thu‐Lan, Worley, Anthea, Dixon, Karen, Kurunawai, Craig, Tan, Aaron, Mahadevan, Joshua, Willcourt, Matthew, Jannes, Jim, and Kleinig, Timothy

Subjects
STROKE prevention, STROKE-related mortality, MEDICAL quality control, OCCUPATIONAL roles, KRUSKAL-Wallis Test, NEUROLOGY, CONFIDENCE intervals, MEDICAL triage, RURAL conditions, RESEARCH methodology, AMBULANCES, RETROSPECTIVE studies, RESEARCH funding, DESCRIPTIVE statistics, QUALITY assurance, PHYSICIANS, TELEMEDICINE, LONGITUDINAL method
Abstract

Introduction: Stroke in Regional Australia may have worse outcomes due to difficulties accessing optimal care. The South Australian Regional Telestroke service aimed to improve telestroke neurologist access, supported by improved ambulance triage. Objective: To assess stroke care quality and patient mortality pre‐ and postimplementation of a vascular neurologist‐led Telestroke service. Design: Historically controlled mixed methods cohort study comparing key quality indicators and patient mortality (6 months pre‐ vs. 18 months postimplementation date [4 June 2018]) at the three major South Australian regional stroke centres. The primary outcome was 13 care quality indicators as a combined composite risk‐adjusted score, and the secondary outcome was risk‐adjusted mortality at 12‐month postadmission. Findings: On an annualised basis, of 189 patients with stroke, more were admitted postintervention to the regional stroke centres than in the control period (158 [annualised rate 105.3, 95% CI 86.2–127.4] vs. 31 [annualised rate 62.0, 95% CI 47.5–79.5]) Baseline patient characteristics were similar in both periods. Post‐implementation, median last‐known‐well time to presentation (3.5 h [IQR 1.6–17] vs. 2.0 [IQR 1–14]; p = 0.46) and door to needle times (121 min [IQR 97–144] vs. 90 [IQR 75–138]; p = 0.65) were not significantly lower but an improvement in the combined composite quality score was observed (0.069 [95% CI 0.004–0.134; p = 0.04]), reflecting individual improvements in some quality indicators. Mortality at 12‐month postimplementation was substantially lower postimplementation (prechange 23% vs. postchange 13% [hazard ratio 0.58 (95% CI 0.44–0.76; p < 0.001)]). Conclusion: Implementation of a South Australian Regional Telestroke service was associated with improved care metrics and lower mortality. [ABSTRACT FROM AUTHOR]

Published
2023
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64. Supplementary Data from Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic Opportunities

Author

Chua, Khi Pin, primary, Teng, Yvonne H.F., primary, Tan, Aaron C., primary, Takano, Angela, primary, Alvarez, Jacob J.S., primary, Nahar, Rahul, primary, Rohatgi, Neha, primary, Lai, Gillianne G.Y., primary, Aung, Zaw Win, primary, Yeong, Joe P.S., primary, Lim, Kiat Hon, primary, Naeini, Marjan Mojtabavi, primary, Kassam, Irfahan, primary, Jain, Amit, primary, Tan, Wan Ling, primary, Gogna, Apoorva, primary, Too, Chow Wei, primary, Kanesvaran, Ravindran, primary, Ng, Quan Sing, primary, Ang, Mei Kim, primary, Rajasekaran, Tanujaa, primary, Anantham, Devanand, primary, Phua, Ghee Chee, primary, Tan, Bien Soo, primary, Lee, Yin Yeng, primary, Wang, Lanying, primary, Teo, Audrey S.M., primary, Khng, Alexis Jiaying, primary, Lim, Ming Jie, primary, Suteja, Lisda, primary, Toh, Chee Keong, primary, Lim, Wan-Teck, primary, Iyer, N. Gopalakrishna, primary, Tam, Wai Leong, primary, Tan, Eng-Huat, primary, Zhai, Weiwei, primary, Hillmer, Axel M., primary, Skanderup, Anders J., primary, and Tan, Daniel S.W., primary

Published
2023
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65. Evasion of toll-like receptor recognition by Escherichia coli is mediated via population level regulation of flagellin production

Author

Tan, Aaron, primary, Alsenani, Qusai, additional, Lanz, Marcello, additional, Birchall, Christopher, additional, Drage, Lauren K. L., additional, Picton, David, additional, Mowbray, Catherine, additional, Ali, Ased, additional, Harding, Christopher, additional, Pickard, Robert S., additional, Hall, Judith, additional, and Aldridge, Phillip D., additional

Published
2023
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66. The Enduring Effects of COVID for Cancer Care: Learning from Real-Life Clinical Practice

Author

Broom, Alex, primary, Williams Veazey, Leah, additional, Kenny, Katherine, additional, Harper, Imogen, additional, Peterie, Michelle, additional, Page, Alexander, additional, Cort, Nicole, additional, Durling, Jennifer, additional, Lipp, Eric S., additional, Tan, Aaron C., additional, Walsh, Kyle M., additional, Hanks, Brent A., additional, Johnson, Margaret, additional, Van Swearingen, Amanda E.D., additional, Anders, Carey K., additional, Ashley, David M., additional, and Khasraw, Mustafa, additional

Published
2023
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72. Ultra-Long Transfers for Endovascular Thrombectomy—Mission Impossible?: The Australia-New Zealand Experience

Author

Garcia-Esperon, Carlos, primary, Wu, Teddy Y., additional, Carraro do Nascimento, Vinicius, additional, Yan, Bernard, additional, Kurunawai, Craig, additional, Kleinig, Tim, additional, Selkirk, Gregory, additional, Blacker, David, additional, Barber, P. Alan, additional, Ranta, Annemarei, additional, Cervera, Alvaro, additional, Wong, Andrew, additional, Mitchell, Peter, additional, Muller, Claire, additional, Rice, Hal, additional, De Villiers, Laetitia, additional, Jannes, Jim, additional, Beom Hong, Jae, additional, Bailey, Peter, additional, Brown, Helen, additional, Campbell, Bruce C.V., additional, Wilson, Duncan, additional, Fink, John, additional, Ang, Timothy, additional, Bladin, Christopher, additional, Phillips, Tim, additional, Hasnain, Md Golam, additional, Butcher, Kenneth, additional, Miteff, Ferdinand, additional, Levi, Christopher R., additional, Spratt, Neil J., additional, Parsons, Mark W., additional, Chew, Beng Lim Alvin, additional, Morgan, Mary, additional, Collecutt, Wayne, additional, Krauss, Martin, additional, Tan, Aaron, additional, Mahadevan, Joshua, additional, Willcourt, Matthew, additional, and Bivard, Andrew, additional

Published
2023
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89. TOP AI INFRASTRUCTURE CONSIDERATIONS.

Author

Tan, Aaron

Abstract

The article highlights the evolving landscape of artificial intelligence (AI) infrastructure, focusing on its demands, strategies, and challenges. Topics discussed include the increasing complexity of AI workloads, the necessity for adaptable infrastructure across edge, core, and cloud environments, and the critical considerations of data governance and sustainability in AI deployment.

Published
2024

90. Red Hat CEO on OpenShift evolution and AI.

Author

Tan, Aaron

Abstract

The article focuses on Red Hat's strategic move to position its open-source software stack as the preferred platform for enterprises to develop and operate AI applications, highlighted during the recent Red Hat Summit in Denver. It delves into Red Hat CEO Matt Hicks's announcement of various capabilities surrounding OpenShift AI and the introduction of RHEL AI, featuring the Granite LLM family from IBM Research and instruction-tuning capabilities via IBM's InstructLab.

Published
2024

96. Agent-Based Model for Decision Support in Multi-Site Manufacturing Enterprises

Author

Ng, Zhan Sheng, Tan, Aaron Yu Siang, Adhitya, Arief, Srinivasan, Rajagopalan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Braubach, Lars, editor, van der Hoek, Wiebe, editor, Petta, Paolo, editor, and Pokahr, Alexander, editor

Published
2009
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98. About the Authors

Author

Altan, Cem L., primary, Blumenauer, Brian, additional, Clemens, Mark W., additional, Butler, Charles E., additional, Bucak, Seyda, additional, Caffo, Maria, additional, Caruso, Gerardo, additional, Corr, Stuart J., additional, Craig, Suzanne L., additional, Curley, Steven A., additional, De Lacey, Sherrie F., additional, Dunne, Lina W., additional, Hubenak, Justin R., additional, Iyyanki, Tejaswi Sriranga, additional, Jensen, V. Behrana, additional, Jeyaraj, Rebecca, additional, Mathur, Anshu B., additional, Merlo, Lucia, additional, Mishra, Deepa, additional, Srinivasa, Dhivya, additional, Tan, Aaron, additional, and Zhang, Qixu, additional

Published
2017
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99. The rise and rise of open source in China.

Author

Tan, Aaron

Abstract

The article offers information on China's significant advancements in open source software and its impact on the global tech landscape. Topics discussed include the government's strategic initiative to promote open source; the emergence of influential projects within the cloud-native ecosystem; and the contributions of Chinese companies and developers to international open source communities.

Published
2024

100. Designing Clinical Trials for Combination Immunotherapy: A Framework for Glioblastoma.

Author

Singh, Kirit, Singh, Kirit, Batich, Kristen A, Wen, Patrick Y, Tan, Aaron C, Bagley, Stephen J, Lim, Michael, Platten, Michael, Colman, Howard, Ashley, David M, Chang, Susan M, Rahman, Rifaquat, Galanis, Evanthia, Mansouri, Alireza, Puduvalli, Vinay K, Reardon, David A, Sahebjam, Solmaz, Sampson, John H, Simes, John, Berry, Donald A, Zadeh, Gelareh, Cloughesy, Tim F, Mehta, Minesh P, Piantadosi, Steven, Weller, Michael, Heimberger, Amy B, Khasraw, Mustafa, Singh, Kirit, Singh, Kirit, Batich, Kristen A, Wen, Patrick Y, Tan, Aaron C, Bagley, Stephen J, Lim, Michael, Platten, Michael, Colman, Howard, Ashley, David M, Chang, Susan M, Rahman, Rifaquat, Galanis, Evanthia, Mansouri, Alireza, Puduvalli, Vinay K, Reardon, David A, Sahebjam, Solmaz, Sampson, John H, Simes, John, Berry, Donald A, Zadeh, Gelareh, Cloughesy, Tim F, Mehta, Minesh P, Piantadosi, Steven, Weller, Michael, Heimberger, Amy B, and Khasraw, Mustafa

Abstract

Immunotherapy has revolutionized treatment for many hard-to-treat cancers but has yet to produce significant improvement in outcomes for patients with glioblastoma. This reflects the multiple and unique mechanisms of immune evasion and escape in this highly heterogeneous tumor. Glioblastoma engenders profound local and systemic immunosuppression and is remarkably effective at inducing T-cell dysfunction, posing a challenge to any immunotherapy-based approach. To overcome these mechanisms, multiple disparate modes of immune-oriented therapy will be required. However, designing trials that can evaluate these combinatorial approaches requires careful consideration. In this review, we explore the immunotherapy resistance mechanisms that have been encountered to date and how combinatorial approaches may address these. We also describe the unique aspects of trial design in both preclinical and clinical settings and consider endpoints and markers of response best suited for an intervention involving multiple agents.

Published
2022

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