Remove 2018 Remove Data Silos Remove Database
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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 101
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Meet the winners of Phase 1 of the PREPARE Challenge

DrivenData Labs

Meet the winners of the main prize track ¶ Prize Team Data Summary 1st Place VBM_CSE_UB (SUNY Buffalo) Audio recordings, acoustic features, demographic information, and clinical data from 2,086 participants in the DementiaBank dataset. Dr. Reid also teaches Data Science at the University of California at Berkeley.

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Core4ce Cyberscape: the cyber security forensics platform

Cambridge Intelligence

Core4ce Cyberscape: unmasking cyber threats Since 2018, Core4ce’s team of data scientists, engineers, and cyber experts has helped the US federal government solve complex challenges with data. Bridging data silos Once we have our seed nodes on the chart, we start enriching them.