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AI Model From Google DeepMind Reads Recipe for Life in Our DNA
- On Wednesday, Google DeepMind unveiled AlphaGenome, an AI tool to help unravel the human genome and potentially aid treatments, with the work detailed in a Nature study and earlier blog post.
- Because only around two percent codes for proteins, the human genome contains three billion letters, and the 'dark genome' comprises the remaining 98% of non-coding DNA with many disease-linked variants.
- AlphaGenome operates as a sequence-to-function model that predicts nucleotide changes' effects, analysing up to one million DNA letters and comparing mutated vs non-mutated sequences, trained on public human and mouse cell/tissue datasets.
- Since its launch seven months ago, nearly 3,000 scientists across 160 countries have started using AlphaGenome to study cancer and other diseases, with about 1 million API calls per day via DeepMind's free API.
- Experts praised the advance but warned of limits, with Ben Lehner calling AlphaGenome a 'breakthrough' yet DeepMind noting lower accuracy for long-range regulatory predictions beyond 100,000 letters, while Pushmeet Kohli urged, `We hope researchers will extend it with more data.
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49 Articles
49 Articles
The vast majority of human genetics are riddles for researchers. Deepmind AI software can now better understand the function of DNA. Can major medical questions be solved with mutants in the computer in the future?
·Germany
Read Full ArticleGoogle has released its AI tool, AlphaGenome, which analyzes how parts of DNA regulate the activity of genes in the cell.
·Montreal, Canada
Read Full ArticleDeepMind's new AI AlphaGenome decodes how genes are controlled. It shows how switches and genes interact - a breakthrough for research and a step towards personalized medicine. By Frank Wittig and Ralf Kölbel.
·Hamburg, Germany
Read Full ArticleFrom Google DeepMind, it provides the function of long sequences (ANSA)
·Italy
Read Full ArticleCoverage Details
Total News Sources49
Leaning Left10Leaning Right2Center11Last UpdatedBias Distribution48% Center
Bias Distribution
- 48% of the sources are Center
48% Center
L 43%
C 48%
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