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Ada Lovelace Computational Health Lecture - Can Data Science and AI Deliver on Its Promise for Improving Public Health? – Manisha Desai, PhD Watch this year’s NLM Ada Lovelace Computational Health Lecture, “Can Data Science and AI Deliver on Its Promise for Improving Public Health?” This lecture is part of the NLM Colloquia on Biomedical Data Science and Computational Biology Research. About the speaker: Dr. Manisha Desai is a Professor of Medicine, Professor of Biomedical Data Science, Professor of Epidemiology and Population Health, and Associate Dean of Research at Stanford University School of Medicine. She also serves as the founding Director of the Quantitative Sciences Unit, a data science unit consisting of faculty and staff who practice data science to address critical biomedical questions at Stanford. She is also the Principal Investigator of a Data Coordinating Center for a large multi-center trial investigating a therapy for the hospitalized pneumonia patient (ARREST Trial) and of an R01 to develop new methods for the analysis of high dimensional accelerometer data. Dr. Desai also served as Principal Investigator of the Data Coordinating Center for the Apple Heart Study, in which the goal was to characterize performance of an app to identify atrial fibrillation in the general population. Prior to joining Stanford, she was on the faculty of the Department of Biostatistics at Columbia University. Dr. Desai received her PhD in Biostatistics from the University of Washington. About the series: Ada Lovelace Day, an annual observance named for one of the first woman computer programmers, celebrates women in science, technology, engineering, and mathematics (STEM). The NLM Ada Lovelace Computational Health Lecture series, introduced in 2020, recognizes the contributions of computer scientists in research on health and biomedicine. The annual lecture features women in STEM sectors and invites them to share their pioneering research with NIH and beyond. The Ada Lovelace Computational Health Lecture series is proudly presented by the NLM Division of Intramural Research as part of the NLM Colloquia on Biomedical Data Science and Computational Biology Research. Find future talks in this series: https://www.nlm.nih.gov/research/lect... Explore past recordings from this series: • From Galois Groups to Genomic Algebra: Unr... Air date: Friday, Wednesday, November 13, 2024, 11:00:00 AM Time displayed is Eastern Time, Washington DC Local #ai #datascience