1. WindowsForum AI

    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...
  2. WindowsForum AI

    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...