Bio: Emily Fox is a Professor in Statistics and Computer Science at Stanford University. Prior to Stanford, she was the Amazon Professor of Machine Learning Computer Science & Engineering and Statistics at the University of Washington. From 2018-2021, Emily led the Health AI team at Apple, where she was a Distinguished Engineer. Emily has been awarded a Presidential Early Career Award for Scientists and Engineers (PECASE), Sloan Research Fellowship, ONR Young Investigator award, and NSF CAREER award. Her research interests are in modeling complex time series arising in health, particularly from health wearables and neuroimaging modalities.
Abstract: Diabetes affects over 422 million people and is a debilitating disease. Advances in wearable devices have opened up new opportunities for remote patient monitoring with adaptive review and treatment strategies. In this talk, I will discuss an AI-enabled decision support system that achieves outcomes comparable to small Scandinavian clinics with some of the best outcomes in the world, but with a diverse patient population in California. Our work leverages hybrid models that combine the flexibility of neural networks with the physiological inductive bias of mechanistic models, leading to state-of-the-art predictive performance with causal validity. We also explore assessing treatment effects from the noisy wearable signals and offline policy evaluation for better patient targeting strategies.
Негізгі бет 3/14/24: Improving Diabetes Outcomes through AI-guided Clinical Care (Dr. Emily Fox)
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