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2015

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Data Silos

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

JANUARY 13, 2023

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

AWS Analytics Analytics Machine Learning

Meet the winners of Phase 1 of the PREPARE Challenge

DrivenData Labs

SEPTEMBER 10, 2024

Find, curate, or contribute data to create representative and open datasets that can be used for early prediction of AD/ADRD. Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Dr. Reid also teaches Data Science at the University of California at Berkeley.

Machine Learning

Machine Learning Machine Learning Computer Science Computer Science

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

Meet the winners of Phase 1 of the PREPARE Challenge

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