Events

Mihaela van der Schaar, John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge

Landmark Ideas Series

October 3, 2022 at 4:00PM - 5:30PM

Talk Topic: Machine Learning and Revolutionizing Healthcare.

Derrick Rossi, PhD, at Harvard Medical School

Landmark Ideas Series

September 19, 2022 at 4:00PM - 5:30PM

Talk Title: Stem Cell Science and the Genesis of New Therapeutic Strategies for Patients.

Dave Ferrucci, PhD, Founding Lead PI of IBM Watson (Former); CEO at Elemental Cognition

Intelligent Health Lab Series

September 12, 2022 at 4:00PM - 5:00PM

The Tale of Two AI's - From Vision to Market.

Vinay Prasad, MD, MPH, American Hematologist-Oncologist and Health Researcher, Associate Professor at the University of California, San Francisco

Landmark Ideas Series

May 5, 2022 at 4:00PM - 5:30PM

Medical Reversal: Why 46% of What Doctors Think Is Wrong In this lecture we will talk about the rate with which medical practices are widely adopted and later found to be lacking. We will explore some of the causes and solutions.

Christopher Longhurst, MD, Chief Medical Officer and Chief Digital Officer at UC San Diego Health

Frontline Dispatch Series

April 4, 2022 at 4:00PM - 5:00PM

Talk Topic: Interoperable Pandemic IT Innovations in California at Population Scale.

Rob Knight, PhD, Co-founder at The American Gut Project

Landmark Ideas Series

March 17, 2022 at 4:00PM - 5:30PM

Talk Topic: Linking Human and Environmental Microbiomes for Health.

Todd Golub, MD, Director of the Broad Institute at MIT and Harvard

Landmark Ideas Series

February 17, 2022 at 4:00PM - 5:30PM

Genomic Approaches to Cancer Precision Medicine Dr. Golub presented findings from his laboratory and the Broad Institute Cancer Program utilizing large-scale pre-clinical models for therapeutic target discovery and approaches to cancer precision medicine. 

Ellen Grant, MD, Director, Fetal-Neonatal Neuroimaging and Developmental Science Center; Borjan Gagoski, PhD, Faculty MR Physician, Fetal-Neonatal Neuroimaging and Developmental Science Center; Junshen Xu, PhD, Student, at MIT

BCH AI & Machine Learning Working Group

February 11, 2022 at 09:30AM - 10:30AM

Fetal magnetic resonance imaging is challenging to perform as the fetus continually moves during image acquisition. As a result, the technologist must know how to "chase the fetus" to get images orthogonal to the fetal brain and repeat these acquisitions until images without motion are obtained. In this talk we will discuss how ML approaches are being used to accelerate and automate fetal imaging acquisition. Fetal imaging can be a challenge, but fetal motion also provides insight into the neurological and musculoskeletal development of the fetus. We will also describe how we have used ML approaches to track and quantify fetal motion and the potential neuroscientific and clinical applications.

Ben Reis, PhD and Ilkin Bayramli, at Boston Children's Hospital

BCH AI & Machine Learning Working Group

February 1, 2022 at 2:00PM - 3:00PM

Dr. Ben Reis and Ilkin Bayramli will present their paper in Journal of the American Medical Informatics Association (JAMIA) entitled "Temporally informed random forests for suicide risk prediction": -https://pubmed.ncbi.nlm.nih.gov/34725687/

Drs. Arjun Manrai, Amy Starmer, and Robert Rosen, at Boston Children's Hospital

BCH AI & Machine Learning Working Group

January 21, 2022 at 09:30AM - 10:30AM

A discussion among Drs. Arjun Manrai, Amy Starmer, and Robert Rosen, moderated by Dr. Ken Mandl.