Remove 2015 Remove Data Silos Remove Deep Learning
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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 100
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Meet the winners of Phase 1 of the PREPARE Challenge

DrivenData Labs

With several years of experience harnessing deep learning for drug discovery and high-definition image analysis, Paola has channeled her expertise into tackling one of medicine’s greatest challenges: Alzheimer’s disease. Dr. Reid also teaches Data Science at the University of California at Berkeley. She earned her Ph.D.