AI timelines target liquid cancers 2027–28

- A cluster of investment and research theses now predicts that advanced AI protein‑modeling and automated biology could deliver curative options for liquid cancers by 2027–28. (x.com) - The thesis names whole‑body biomolecular models, ASI‑grade protein folding, and rapid assay automation as the technical levers that could compress timelines dramatically. (x.com) - If correct, that timeline reshapes biotech capital allocation and drug discovery roadmaps, and venture investors are already betting on platforms that combine ML with microfluidics and proteomics. (x.com)