Pacific Symposium on Biocomputing 2023: Kohala Coast, Hawaii, USA, 3 – 7 January 2023

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Biocomputing 2023 - Proceedings Of The Pacific Symposium

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Biocomputing 2023: Proceedings of the Pacific Symposium von Altman, Russ B, Hunter, Lawrence, Ritchie, Marylyn D, Murray, Tiffany, Klein, Teri E

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How Fitbit data are being made available to registered researchers in All of Us Research Program von Master, Hiral, Kouame, Aymone, Marginean, Kayla, Basford, Melissa, Harris, Paul, Holko, Michelle

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Using Association Rules to Understand the Risk of Adverse Pregnancy Outcomes in a Diverse Population von Chu, Hoyin, Ramola, Rashika, Jain, Shantanu, Haas, David M., Natarajan, Sriraam, Radivojac, Predrag

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Federated Learning for Sparse Bayesian Models with Applications to Electronic Health Records and Genomics von Kidd, Brian, Wang, Kunbo, Xu, Yanxun, Ni, Yang

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Exploiting Domain Knowledge as Causal Independencies in Modeling Gestational Diabetes von Mathur, Saurabh, Karanam, Athresh, Radivojac, Predrag, Haas, David M., Kersting, Kristian, Natarajan, Sriraam

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FairPRS: adjusting for admixed populations in polygenic risk scores using invariant risk minimization von Machado Reyes, Diego, Bose, Aritra, Karavani, Ehud, Parida, Laxmi

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Not in my AI: Moral engagement and disengagement in health care AI development von Nichol, Ariadne A., Halley, Meghan C., Federico, Carole A., Cho, Mildred K., Sankar, Pamela L.

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Session Introduction: TOWARDS ETHICAL BIOMEDICAL INFORMATICS: LEARNING FROM OLELO NOEAU, HAWAIIAN PROVERBS von Washington, Peter Y., Puniwai, Noelani, Kamaka, Martina, Gürsoy, Gamze, Tatonetti, Nicholas, Brenner, Steven E., Wall, Dennis P.

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A transfer learning approach based on random forest with application to breast cancer prediction in underrepresented populations von Gu, Tian, Han, Yi, Duan, Rui

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Predictive models for abdominal aortic aneurysms using polygenic scores and PheWAS-derived risk factors von Hellwege, Jacklyn N., Dorn, Chad, Irvin, Marguerite R., Limdi, Nita A., Cimino, James, Beasley, T. Mark, Tsao, Philip S., Damrauer, Scott M., Roden, Dan M., Velez Edwards, Digna R., Wei, Wei-Qi, Edwards, Todd L.

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Time-aware Embeddings of Clinical Data using a Knowledge Graph von Soman, Karthik, Nelson, Charlotte A., Cerono, Gabriel, Baranzini, Sergio E.

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PiTE: TCR-epitope Binding Affinity Prediction Pipeline using Transformer-based Sequence Encoder von Zhang, Pengfei, Bang, Seojin, Lee, Heewook

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Mutual interactors as a principle for phenotype discovery in molecular interaction networks von Eyuboglu, Sabri, Zitnik, Marinka, Leskovec, Jure

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Predictive modeling using shape statistics for interpretable and robust quality assurance of automated contours in radiation treatment planning von Wooten, Zachary T., Yu, Cenji, Court, Laurence E., Peterson, Christine B.

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Contrastive learning of protein representations with graph neural networks for structural and functional annotations von Luo, Jiaqi, Luo, Yunan

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The Effect of AI-Enhanced Breast Imaging on the Caring Radiologist-Patient Relationship von Bunnell, Arianna, Rowe, Sharon

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Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data von Hashim, Sayed, Nandakumar, Karthik, Yaqub, Mohammad

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Acoustic-Linguistic Features for Modeling Neurological Task Score in Alzheimer's von Aryal, Saurav K., Prioleau, Howard, Burge, Legand

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