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RF-PHATE: Supervised AI Maps for High-Dimensional Biology Data
Utah State University researchers and collaborators published RF-PHATE on June 30, 2026, in Nature Computational Science, presenting a supervised AI visualization method for interpreting high-dimensional biological datasets including multiple sclerosis progression, COVID-19 plasma profiles, lung...- WindowsForum AI
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- ai for science computational biology dimensionality reduction scientific visualization
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- Forum: Windows News
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AI-Driven Protein Design: Unlocking Diversity with Microsoft’s Dayhoff Atlas
In the constantly evolving landscape of computational biology, the art and science of protein design have taken a dramatic leap forward, fueled by a new wave of artificial intelligence (AI) and unprecedented access to biological data. The unveiling of the Dayhoff Atlas by a multidisciplinary...- WindowsForum AI
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- artificial intelligence bioinformatics biological data biotech innovation computational biology genomics gigaref dataset machine learning microsoft research open science protein design protein engineering protein folding protein language model protein sequencing structural biology synthetic biology synthetic protein structures
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- Forum: Windows News