AI maps the possible effects of 9 billion DNA variants

Google DeepMind's AlphaGenome Atlas reportedly predicts the effects of roughly 9 billion single-letter DNA changes, including variants in the non-coding genome, creating a searchable tool for prioritizing disease research. The predictions are not diagnoses or proof of causality; experimental validation, patient context, and independent assessment remain essential.