Upcoming Events

Please join us on Tuesday, July 16th at 12pm-1pm PST/3pm-4pm EST for the lecture “Policy and Ethics in Innovation: Developing and Applying Ethics and Equity Principles, Terms, and Engagement Tools in AI and Machine Learning”, by Rachele Hendricks-Sturrup, D.H.Sc., M.Sc., M.A. Additional details in the attached documents and message below. Zoom link: https://uchealth.zoom.us/j/81753058557 Bio: Rachele Hendricks-Sturrup, D.H.Sc., M.Sc., M.A., is the Research Director of Real-World Evidence (RWE) at the Duke-Margolis Institute for Health Policy and former Chief Data Governance Officer at the National Alliance Against Disparities in Patient Health. She recently joined the AcademyHealth Advancing Research on Trust initiative as a Scholar in Residence. Dr. Hendricks-Sturrup holds research and practice expertise as a health scientist, engagement expert, and bioethicist. Her work focuses on examining and addressing ethical, legal, social, and implementation issues at the forefront of policy and health innovation. Links to previous lecture recordings and terms of the month: https://vimeo.com/showcase/11167277 https://bridge2ai.org/blog/

Please join us on Friday, July 19 at 1:00 PM PST / 3:00 PM CST / 4:00 PM EST for a lecture on the Bridge2AI Voice dataset, including voice data collection, storage, access, and analysis, presented by Satrajit Ghosh, PhD, Alistair Johnson, DPhil, and Alexandros Sigaras, MS. Satrajit Ghosh is a Principal Research Scientist at the McGovern Institute for Brain Research at MIT, Assistant Professor in the Department of Otolaryngology at Harvard Medical School, and lead of the Standards team in the Bridge2AI Consortium. Dr. Johnson is an Independent Consultant for Glowyr, where he provides support for research and development projects specializing in biomedical data and machine learning. Alex Sigaras is an Assistant Professor of Research in Physiology and Biophysics at Weill Cornell Medicine and lead of the Tools Development and Optimization in the Bridge2AI Consortium. This lecture is the eighth and final webinar in a series from voice AI-experts geared towards the future AI/ML workforce to prepare them work with voice AI. These webinars are hosted by the Skills and Workforce Development (SWFD) team of the Bridge2AI Voice Consortium. The Voice consortium aims to integrate the use of voice as biomarker of health in clinical care to assist in screening, diagnosis, and treatment of a broad range of diseases. The SWFD team is comprised of members from both Oregon Health & Science University (PIs Bill Hersh and David Dorr) and Washington University (PI Philip Payne). Join the meeting here.

Please join us on Tuesday, September 17th at 12pm-1pm PST/3pm-4pm EST for the discussion forum  “Trustworthy Machine Learning”, by Dr. Kush R. Varshney. Zoom link: https://uchealth.zoom.us/j/81753058557 Registration required, register here!  Zoom link: https://uchealth.zoom.us/j/81753058557 Bio: Kush R. Varshney was born in Syracuse, New York in 1982. He received the B.S. degree (magna cum laude) in electrical and computer engineering with honors from Cornell University, Ithaca, New York, in 2004. He received the S.M. degree in 2006 and the Ph.D. degree in 2010, both in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT), Cambridge. While at MIT, he was a National Science Foundation Graduate Research Fellow. Dr. Varshney is an IBM Fellow based at the Thomas J. Watson Research Center, Yorktown Heights, NY, where he directs the Human-Centered Trustworthy Artificial Intelligence team. He was a visiting scientist at IBM Research - Africa, Nairobi, Kenya in 2019. He was the founding co-director of the IBM Science for Social Good initiative from 2015-2023. He applies data science and predictive analytics to human capital management, healthcare, olfaction, computational creativity, public affairs, international development, and algorithmic fairness, which has led to the Extraordinary IBM Research Technical Accomplishment for contributions to workforce innovation and enterprise transformation, and IBM Corporate Technical Awards for Trustworthy AI and for AI-Powered Employee Journey. He and his team created several well-known open-source toolkits, including AI Fairness 360, AI Explainability 360, Uncertainty Quantification 360, and AI FactSheets 360. AI Fairness 360 has been recognized by the Harvard Kennedy School's Belfer Center as a tech spotlight runner-up and by the Falling Walls Science Symposium as a winning science and innovation management breakthrough. He conducts academic research on the theory and methods of trustworthy machine learning. His work has been recognized through paper awards at the Fusion 2009, SOLI 2013, KDD 2014, and SDM 2015 conferences and the 2019 Computing Community Consortium / Schmidt Futures Computer Science for Social Good White Paper Competition. He independently-published a book entitled 'Trustworthy Machine Learning' in 2022, available athttp://www.trustworthymachinelearning.com. He is a fellow of the IEEE. Links to previous recordings and terms of the month: https://vimeo.com/showcase/11167277 https://bridge2ai.org/blog/

In collaboration with the Grand Challenges (GCs) at Bridge2AI, the Bridge Center Training, Recruitment, and Mentorship Working Group presents a new education module launching this fall: “Introduction to the Bridge2AI GC Datasets.” Please join us on Thursday, October 10th 2024, for the first lecture in this series “Introduction to AI-READI, Studying Salutogenesis in T2DM.”Please see attached for more information. We look forward to your attendance! Join the webinar here! Read more information about the speakers and webinar here!

Please join us on Tuesday, October 15th at 12pm-1pm PST/3pm-4pm EST for the discussion forum  “Un/regulated Voice AI for Health? Implications of the safety and efficacy evaluation for Trustworthiness” by Hortense Gallios and Dr. Jean-Christophe Bélisle-Pipon Registration not required!  Zoom link: https://uchealth.zoom.us/j/81753058557 Additional details in the attached documents and message below. Bio: Hortense Gallios is a B2AI-Voice Scholar and doctoral student in bioethics in cotutelle between Université de Montréal and Simon Fraser University in Vancouver. Her doctoral studies are centred on identifying good governance practices for the responsible and equitable use of voice data, in the context of voice AI research for health. Hortense has a background in law (Bachelor and Masters from Université Lille 2, France) and in bioethics (M.A from Université de Montréal) and focuses in the intersection of law and ethics applied to health and new technology.. Links to previous recordings and terms of the month:  https://vimeo.com/showcase/11167277 https://bridge2ai.org/blog/

In collaboration with the Grand Challenges (GCs) at Bridge2AI, the Bridge Center Training, Recruitment, and Mentorship Working Group presents the education module: “Introduction to the Bridge2AI GC Datasets.”Please join us on Thursday, November 7th 2024, at 12 PM PT/3 PM ET for the next lecture in this series “Introduction to GC–Voice Datasets.” Please see attached for more information. We look forward to your attendance!Join the live lecture using this zoom link.

Please join us on Tuesday, November 19th at 12pm-1pm PST/3pm-4pm EST for the discussion forum  “The ROI of Health AI: We need more roads, not Ferraris”, by Dr. Leo Celi. Registration not required! Zoom link: https://uchealth.zoom.us/j/81753058557 Additional details in the attached documents and message below. Bio: Dr. Celi is the principal investigator behind the Medical Information Mart for Intensive Care (MIMIC) and its offsprings, MIMIC-CXR, MIMIC-ED, MIMIC-ECHO, and MIMIC-ECG. With close to 100k users worldwide, an open codebase, and close to 10k publications in Google Scholar, the datasets have undoubtedly shaped the course of machine learning in healthcare in the United States and beyond. His group has written 3 open-access textbooks: “Secondary Analysis of Electronic Health Records” in 2016, “Global Health Informatics: Principles of eHealth and mHealth to Improve Quality of Care” in 2017, and “Leveraging Data Science for Global Health” in 2020. The first has been downloaded over 1.7 million times and translated into Mandarin, Spanish, Korean and Portuguese. The group has created two open online courses, “Global Health Informatics'' and “Collaborative Data Science for Healthcare”. Finally, in partnership with hospitals, universities and professional societies across the globe, Dr. Celi and his team have organized over 50 datathons in 22 countries, bringing together students, clinicians, researchers, and engineers to leverage data routinely collected in the process of care. Links to previous recordings and terms of the month:  https://vimeo.com/showcase/11167277 https://bridge2ai.org/blog/

In collaboration with the Grand Challenges (GCs) at Bridge2AI, the Bridge Center Training, Recruitment, and Mentorship Working Group presents the education module: “Introduction to the Bridge2AI GC Datasets.” Please join us on Thursday, November 21st 2024, at 12 PM PT/3 PM ET for the next lecture in this series “Introduction to CM4AI Datasets.”  Join the Live-Lecture using this zoom link: https://uclahs.zoom.us/j/96802224199 The lecture will be available on the Bridge2AI TRM Vimeo within 48 hours after the lecture at the following website: and the Official Bridge2AI YouTube channel found here: Intro Slide Deck Promotional Flyer

Our December 2024 Bridge2AI Leadership Meeting will be an opportunity for researchers and experts to engage in vibrant discussions. The theme of the Fall Leadership Meeting is: Cross Consortium Synergies.Representatives from all the Grand Challenges (GC) and the Bridge Center (BC) will present highlights of their research and facilitate discussions aligned with the theme of the meeting. The meeting will be chaired by Dr. Trey Ideker, UC San Diego, and Dr. LaKaija Johnson, Sage Bionetworks. To view the meeting agenda, please visit this link. Location: Estancia La Jolla Hotel & Spa 9700 N. Torrey Pines Rd La Jolla, CA 92037 Contact Information Hotel Direct 855-318-7602 Reservations 858-412-0100

Please join us on Tuesday, December 10th at 12pm-1pm PST/3pm-4pm EST for the discussion forum  “Using AI in Patient Care: Emerging Legal Issues”, by Dr. Michelle M. Mello. Registration not required! Zoom link: https://uchealth.zoom.us/j/81753058557 Additional details in the attached documents and message below. Bio: Michelle Mello is Professor of Law at Stanford Law School and Professor of Health Policy in the Department of Health Policy at Stanford University School of Medicine. She conducts empirical research into issues at the intersection of law, ethics, and health policy. She is the author of more than 260 articles on medical liability, public health law, the public health response to COVID-19, pharmaceuticals and vaccines, data ethics and privacy, artificial intelligence, research ethics and governance, and other topics.The recipient of a number of awards for her research, Dr. Mello was elected to the National Academy of Medicine at the age of 40. From 2000 to 2014, she was a professor at the Harvard School of Public Health, where she directed the School’s Program in Law and Public Health. Dr. Mello teaches in the areas of torts, public health law, and health policy. She holds a J.D. from the Yale Law School, a Ph.D. in Health Policy and Administration from the University of North Carolina at Chapel Hill, an M.Phil. from Oxford University, where she was a Marshall Scholar, and a B.A. from Stanford University.Links to previous recordings and terms of the month: https://youtube.com/@Bridge2AI https://bridge2ai.org/blog/  

Bio: Dr. Hernandez-Boussard is an Associate Dean of Research and Professor of Medicine (Biomedical Informatics), Biomedical Data Sciences, Surgery and Epidemiology & Population Health (by courtesy) at Stanford University. With a rich background and vast expertise in biomedical informatics, health services research, and epidemiology, she is at the forefront of advancing healthcare through the development, evaluation and application of innovative methods. Through her research, she aims to effectively monitor, measure, and predict equitable healthcare outcomes. By leveraging real-world data, her team works diligently to construct a solid body of evidence that can significantly enhance patient outcomes, streamline healthcare delivery, and provide valuable guidance for health policy decisions. In addition, Dr. Hernandez-Boussard focuses intensively on mitigating bias and enhancing equity within artificial intelligence applications in healthcare settings. Through her research and evaluation of AI technology, she seeks to advance healthcare practices while ensuring that diverse populations receive equitable resources, care, and outcomes. ZOOM ID: 817 5305 8557