Cybil Roehrenbeck: Legal and regulatory landscape of healthcare AI technologies
Cybil Roehrenbeck discussed the rapidly evolving landscape of AI regulations in clinical settings.
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Category B2AI Discussion Forum on Emerging ELSI Issues
Dr. Sudip Gupta: Algorithmic Bias and Causal Fairness in Healthcare Evidence from MIMIC database
Dr. Gupta discussed causal fairness principles to mitigate bias and promote equity in healthcare using MIMIC 3 data.
Dr. Tim Mackey: Leveraging Blockchain Technology to Enable Indigenous Data Sovereignty of Genomic Data
Dr. Mackey discussed a project funded by the Robert Wood Johnson Foundation in partnership with The Native Biodata Consortium to develop a blockchain-based governance system for managing Indigenous genomic data.
Dr. Xiaoqian Jiang: Sensitive Data Detection with High-Throughput Machine Learning Models in Electronic Health Records
Dr. Jiang explored how a groundbreaking discovery was utilized to generate 30 metadata-based features through machine learning for the automatic detection of PHI fields in structured Electronic Health Record (EHR) data.
Dr. Babak Salimi: Certifying Fair Predictive Models in the Face of Selection Bias
Dr. Salimi offered insights for data management, machine learning, and responsible data science, emphasizing the significance of handling selection bias in algorithmic decision-making.
Dr. Bradley Malin: One Size Does Not Fit All: How to Build Respectful Cohorts for Biomedical Data Science
Dr. Malin drew upon examples from large-scale data-driven projects like the EMR and bio-repository at Vanderbilt University Medical Center, the eMERGE consortium of the NIH, and the All of Us Research Program, aiming to create a comprehensive database of EMRs, genome sequences, and mHealth records from one million Americans.
Dr. Debra Mathews: Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field — Lessons from a NASEM Consensus Study for AI-READI
Dr Mathews provided an overview of the recent NASEM consensus study report that focused on the use of race and ethnicity and other population descriptors in genomics research, including the recommendations made by the committee.
Joseph Yracheta: The Dissonance between Scientific Altruism & Capitalist Extraction for & from the Amerindigenous
American Indians experience elevated rates of health conditions like diabetes, chronic kidney disease, and cardiovascular disease, as well as greater exposure to environmental hazards.
Dr. Aaron Goldenberg: Unanswered ELSI Questions in the Development of Biomedical Repositories: Privacy, Equity, and Stewardship
Dr. Goldenberg discussed the evolving ethical, legal, and social concerns (ELSI) associated with biorepositories and biobanking.
Dr. Berk Ustun: Towards Personalization without Harm
Dr. Ustun discussed how machine learning models, personalized with sensitive features like sex, age group, and HIV status, can perform better for populations but worse for specific groups, potentially causing harm.