Researchers at the University of Bristol want to make medical AI systems safer by borrowing from how drugs get approved. Their "Learning Ensemble" framework defines three areas to check, including system limits, fairness across patient groups, and clinical fit. The goal is to catch models that work technically but can still be dangerously wrong in the clinic.

The article Bristol researchers say medicine already knows how to handle black boxes and AI could learn from it appeared first on The Decoder.

Google Deepmind has used the AlphaGenome Atlas to predict what each of the roughly nine billion possible single-letter changes in the human genome could do. The dataset spans one petabyte, more than 30 times the size of the AlphaFold database. In one epilepsy case, the atlas helped pinpoint a previously overlooked variant as the likely cause.

The article Deepmind's AlphaGenome Atlas maps every possible DNA change in the human genome appeared first on The Decoder.

A study in Nature Biotechnology suggests that rentosertib, a drug designed with AI by Insilico Medicine, may reverse markers of biological aging. Six independent aging clocks predicted that treated patients were biologically up to six years younger than the placebo group. The trial covered just 42 patients and the drug hasn't been tested in healthy people yet.

The article AI-designed drug appears to turn back the body's biological clock in early trial appeared first on The Decoder.