AI for Precision Health: Learning the language of nature and patients | Microsoft Research Forum

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This panel discussion with Microsoft researchers and external guests explores the transformative potential of generative AI in learning the language of nature and patients for precision health, from proteins to medical imaging, from electronic medical records to home health monitoring. Emphasis is placed on the end-to-end innovation cycle from foundational research to deep partnership to productization.

Providence x MSFT AI Impact blog: https://blog.providence.org/national-news/comprehensive-genomic-profiling-leads-to-better-patient-outcomes-new-joint-study-says
Healthcare AI models blog: https://www.microsoft.com/en-us/industry/blog/healthcare/2024/10/10/unlocking-next-generation-ai-capabilities-with-healthcare-ai-models/?msockid=2cf9e53ba73e6362243bf1caa6ba6226
Project Ex Vivo: https://aka.ms/exvivo
AI For Life: https://www.microsoft.com/en-us/research/project/ai-for-life/
Broad Institure Project Ex Vivo webpage: https://exvivo.broadinstitute.org/
GigaPath Microsoft Blog: https://www.microsoft.com/en-us/research/blog/gigapath-whole-slide-foundation-model-for-digital-pathology/

This session aired on February 25, 2025, at Microsoft Research Forum, Episode 5.

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