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Based on the 2026 @AnnualReviews of Biomedical Engineering piece ‘Federated Learning in Healthcare: From Research to Real-World Deployment’ by @SpyridonBakas, @XiaoxiaoLi8, Prashant Shah, and Holger R. Roth.
Thank you @jennschenker for another highly engaging interview. It was great to dive deep into #confidentialcomputing and share the ongoing work @intel is doing to keep our customers' data and organizations secure. Check out our conversation: tinyurl.com/mwx7xcwh
Emerging from machine learning (ML), federated learning (FL) allows builders to train on distributed datasets from different owners while maintaining full control of their personal data. Read on to learn how to enhance your #ML environment with OpenFL. intel.ly/4ggCzN4
The latest episode of the #InTechnology podcast dives into the realm of #FederatedLearning and explores how this #AI technology is set to revolutionize data privacy and security. Watch the full episode now: intel.ly/4iyBjau
Exciting news! We've launched a new study with @NIEHS to help researchers better understand how our environment can impact our risk for #Type2Diabetes and related complications. Read the announcement to learn more: allof-us.org/3UmmMnS
IU School of Medicine researchers are leading a multi-site study to use a privacy-preserving artificial intelligence approach, called federated learning, to improve breast cancer risk prediction and reduce health inequities in cancer prevention care. bit.ly/4gd1SRr
An analysis of genomic data from nearly 250K participants in the @NIH’s @AllofUsResearch identified more than 275 million previously unreported genetic variations, nearly 4 million of which have potential health consequences.
@NatureMedicine @VUMCgenetics
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Asian Americans represent many racial ethnic communities, each with their own unique health challenges. Every voice is needed to create an accurate representation of the health of Asian Americans improve health for everyone. Learn more: JoinAllofUs.org#JoinAllofUs
🚀 Introducing the Stanford AIMI Dataset Index – a diverse inventory of AI-ready datasets for machine learning in healthcare! We hope this resource will help democratize access to health data for AI development. Explore & contribute here: bit.ly/3RmEGFL#AIMIDatasetIndex