"Events like this are so valuable, given the major disruptions that are taking place in technology, education, health care and indeed in almost all sectors,"
"Initiatives which bring together people from different regions and unite diverse academic disciplines, truly represent the best opportunity to take advantage of new technologies by applying them in creative and innovative ways to enhance health care outcomes."
Weill Cornell Medicine-Qatar hosted an interdisciplinary AI hackathon on Oct. 10-11 co-sponsored by Dr. Javaid Sheikh and Dr. Curtis Cole. Six teams combined WCM-Q medical students with Cornell and Cornell Tech computer science students to create AI-driven solutions for clinical challenges. Projects included federated learning for clinical risk prediction, target trial emulation using real-world data, breast cancer tumor subtype prediction, automatic polycystic ovarian morphology classification from imaging, early postpartum depression prediction, and predictive insights from wearable and synthetic clinical data. Teams received mentorship from experts across clinical medicine, biomedical research, radiology, AI innovation, data science and health informatics to foster innovation.
Read at Cornell Chronicle
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