Presented by:
Francesca Rinaldo, MD, PhD

Title: “Case Studies in Digital, Real-world Data Collection and AI Model Building”

Bio:

Francesca Rinaldo, MD, PhD is a physician- scientist with a background in basic/translational research, clinical research and healthcare delivery innovation. She is an affiliated scholar at the Stanford Clinical Excellence Research Center (CERC), a Design, Innovation and Clinical Entrepreneurship (DICE) Fellow, and Director of Clinical Success at doc.ai, where she works with multidisciplinary teams to design and execute digital clinical studies and build novel and clinically relevant machine learning models.  From 2015-2020 she was a resident in General Surgery at Stanford, and completed the CERC Healthcare Design Fellowship in 2017-2018.  As a CERC fellow, Francesca was a Clinical Lead for the Stanford CERC Partnership for AI-assisted Care (PAC) and received seed funding from the Stanford Institute for Human-Centered Artificial Intelligence. She is a content matter expert in Aging and Late Life, and her clinical interests are strongly rooted in health services and technology aimed at improving the health of the rapidly aging global population. She is passionate about exploring novel applications of digital health technology for improving the quality, cost and accessibility of healthcare for all individuals.

For dial-in instructions, please contact Ana Mezynski at mezynski@stanford.edu.