scientific visualization

Nature Methods has published a two-page Points of View article arguing that biological figures should be treated as reusable code rather than disposable images — and its strongest practical recommendation is simple: researchers using Python, R, JavaScript, or AI-assisted tools should preserve...

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...