BRIDGE2AI

Upcoming Events

B2AI Discussion Forum on Emerging ELSI Issues: “The Pulse of Ethical Machine Learning in Health” by Marzyeh Ghassemi, Ph.D.

Please join us on Tuesday, July 15th, 2025 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “The Pulse of Ethical Machine Learning in Health",  by Dr. Marzyeh Ghassemi Registration not required!  Additional details in the attached documents and message below. Bio: Dr. Marzyeh Ghassemi is an Associate Professor at MIT in Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES). She holds MIT affiliations with the Jameel Clinic, LIDS, IDSS, and CSAIL. For examples of short- and long-form talks Professor Ghassemi has given, see her Forbes lightning talk, and her ICML keynote.  Professor Ghassemi holds a Germeshausen Career Development Professorship, and was named a CIFAR Azrieli Global Scholar and one of MIT Tech Review’s 35 Innovators Under 35. In 2024, she received an NSF CAREER award, and Google Research Scholar Award. Prior to her PhD in Computer Science at MIT, she received an MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar, and B.S. degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University.  Professor Ghassemi’s work spans computer science and clinical venues, including NeurIPS, KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, Nature Medicine, Nature Translational Psychiatry, and Critical Care. Her work has been featured in popular press such as MIT News, The Boston Globe, and The Huffington Post.

Cell Maps for AI (CM4AI) CodeFest at University of Alabama Birmingham

University of Alabama at Birmingham

Are you interested in AI/ML and their applications in biomedicine and precision healthcare? Join the Functional Genomics Grand Challenge team and their group of interdisciplinary experts for the 2025 Cell Maps for AI (CM4AI) CodeFest at UAB. This two-day, in-person event is a hands-on workshop centered on the development of team-based projects using CM4AI datasets and state-of-the-art AI/ML tools to design and test novel approaches in cancer research, drug discovery, systems biology, and precision medicine. Teams will present their projects virtually, with cash awards available for the top 3! To register, please visit the link here. Registration Deadline: August 6th, 2025 For questions, please contact: cm4ai@yale.edu CodeFest Themes Participants will collaborate in teams to build and present projects that leverage CM4AI data and tools, with guidance from mentors at UAB, Yale, UCSD, and other CM4AI institutions. Focus areas include: Biomedical graph networks Graph & quantum AI/ML methods Data embedding Data visualization Visible neural networks Large language models

B2AI Discussion Forum on Emerging ELSI Issues: “Data Management in the Extremes” by Dr. Jennifer Wagner

Please join us on Tuesday, August 19th, 2025 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “Data Management in the Extremes",  by Dr. Jennifer Wagner. Registration not required!  Additional details in the attached documents and message below. Bio: Jennifer K. Wagner, JD, PhD, is an Assistant Professor at Penn State University, affiliated with law, engineering, anthropology, and biomedical sciences. A licensed attorney since 2007, her interdisciplinary research focuses on the human right to science, privacy, and equity in genetic and digital health technologies. She has published over 70 articles, received NIH funding, and her work has been cited by the U.S. Supreme Court. She serves on editorial boards and national ethics committees and teaches courses on genetics law, privacy, and biomedical AI.

B2AI Discussion Forum on Emerging ELSI Issues: “Rational Health AI and Respect for Persons” by Dr. Ida Sim

Please join us on Tuesday, September 16th, 2025 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “Relational Health AI and Respect for Persons",  by Dr. Ida Sim  Registration not required!  Additional details in the attached documents and message below. Bio: Ida Sim, MD, PhD is Professor of Medicine (UCSF) and Computational Precision Health (UCSF and UC Berkeley) and Co-Director of the UCSF UC Berkeley Joint Program in Computational Precision Health. She obtained her B.Sc. in Biology, her MD, and her PhD in Medical Informatics from Stanford. A practicing primary care physician, Dr. Sim completed her Internal Medicine internship and residency at the Massachusetts General Hospital and a fellowship in General Medicine at the Palo Alto VA.    Dr. Sim’s research is on cyberinfrastructure and policies for large-scale health data sharing and AI for managing multiple chronic conditions in primary care. She is Co-founder of Open mHealth, which defines the IEEE 1752 global open standard for patient-generated health data interoperability, and co-leads JupyterHealth, a new project bringing the Jupyter ecosystem to healthcare. She is also Co-founder of Vivli, the world's largest platform for clinical trial data sharing. In prior work, Dr. Sim was the founding Project Coordinator of the World Health Organization’s International Clinical Trials Registry Platform and led the establishment of the first global policy on clinical trial registration.    Dr. Sim is a member of the National Academy of Medicine and the American Society for Clinical Investigation, a Fellow of the American College of Medical Informatics, and a recipient of the United States Presidential Early Career Award for Scientists and Engineers (PECASE).

B2AI Discussion Forum on Emerging ELSI Issues: “The Observer Project: Transforming Healthcare from the Outside” by Dr. Kevin Johnson

  Please join us on Tuesday, October 21st, 2025 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “The Observer Project: Transforming Healthcare from the Outside",  by Dr. Kevin Johnson. Registration not required!  Additional details in the attached documents and message below. Bio: Kevin B. Johnson, MD, MS is the David L. Cohen University Professor of Biomedical Informatics, Computer Science, Pediatrics, and Science Communication at the University of Pennsylvania, and Vice President of Applied Clinical Informatics in the University of Pennsylvania Health System. He received his MD from Johns Hopkins and his MS in Medical Informatics from Stanford University. Previously, he served as Chair for the Department of Biomedical Informatics and Chief Informatics Officer for Vanderbilt University Medical Center.    A clinical informatics researcher, Johnson was among the world’s first researchers to propose and demonstrate the value of text-messaging in behavior change. Dr. Johnson developed the first ever computer-based documentation system used at Hopkins, as well as the first e-prescribing system used at Vanderbilt—both of which became platforms for numerous evaluations by Johnson and his trainees. As director of the Penn Artificial Intelligence for Ambulatory Care Innovation (AI4AI), he and his lab focus on various uses of AI to reimagine the clinical encounter.     He has authored over 200 publications and has won numerous national awards.  He was elected to the American College of Medical Informatics in 2004 (FACMI) and (FAMIA), The Academic Pediatric Society in 2010, the National Academy of Medicine in 2010, the International Association of Health Science Informatics in 2021 (FIAHSI), the American Institute of Medical and Biological Engineering in 2022 (FAIMBE).