DeepMind's AlphaGenome 2 doubles variant detection, trained on 100M+ cell profiles
TorturedPoet30 · reddit · 2026-11-11
Google DeepMind unveiled AlphaGenome 2, an AI model predicting how DNA changes affect different cell types, aimed at better understanding disease.
Key facts:
- Trained on over 100 million individual cell profiles across 68 tissues
- On a benchmark covering 28 immune cell types, it detected nearly twice as many variants affecting gene activity as the original AlphaGenome fine-tuned on single-cell data (30% vs 16%)
- Can make predictions for unseen cell states using new cell data without retraining
- Original AlphaGenome shipped in June 2025; this continues a streak of GDM releases (AlphaProof Code, Gemini Robotics 2.5, Gemini 4 Carbon)
More from Research
- ArcGrav: a cross-model Agent Control Language to cut token overhead — ArchitecturalGravity · 2026-11-12
- Open-source dual-arm robot solves tangram puzzles with 90 demos, ~60% success — DanGrover · 2026-11-12
- FutureHouse's deslopper trains Kosmos to write indistinguishably from human experts — proteinrosh · 2026-11-12
- Fleuret amplifies debate: AI can't slash wet-lab experiments in unmapped biology — francoisfleuret · 2026-11-12
- Recursive's Eureka Machine ships Flint: a sparse 40B model with 2.5B active for local agentic coding — agihouse_org · 2026-11-12
- Recursive bets on open-endedness: agents running massive parallel experiments like scientist communities — agihouse_org · 2026-11-12