Google DeepMind Releases AlphaGenome 2 for Cell-Specific Genetic Research

1. 20:09
   The DecoderPicks

   Google DeepMind Releases AlphaGenome 2 for Cell-Specific Genomics Research

   Google DeepMind has released AlphaGenome 2, a genomics model that predicts how genetic variants affect specific human cell types. Trained on more than 107 million cell profiles from 68 human and mouse tissues, it identified about 30 percent of causal variants on the TenK10K benchmark, compared with 16 percent for a fine-tuned AlphaGenome 1. It is available for noncommercial research through an API; commercial access is in a closed preview.

2. 01:12
   Demis Hassabis · XPicks

   Demis Hassabis Announces AlphaGenome 2, a DNA Sequence Model

   Demis Hassabis announced AlphaGenome 2, a new DNA sequence model that predicts the impact of DNA variants in different specific cell types. He says it is available for academic research via an API.

3. 00:23
   Sundar Pichai · X

   AlphaGenome 2 Helps Researchers Link DNA Variants to Disease Drivers

   Sundar Pichai says AlphaGenome 2 predicts how DNA variants affect specific cell types, helping scientists investigate cellular drivers of disease. The Google DeepMind model predicts how specialized cells interpret DNA and builds on AlphaGenome 1.

1. 23:03
   Google DeepMind · X

   Your heart, brain, and immune system share the same DNA sequence. So how can a single-letter change affect disease in some cells, while sparing the rest? AlphaGenome 2 is our new AI model that zooms in on specific cells to help scientists understand what drives disease. 🧵

   Your heart, brain, and immune system share the same DNA sequence. So how can a single-letter change affect disease in some cells, while sparing the rest? AlphaGenome 2 is our new AI model that zooms in on specific cells to help scientists understand what drives disease. 🧵

2. 23:00
   Google DeepMindPicks

   Google DeepMind Announces AlphaGenome 2 for Cell-Specific DNA Variant Prediction

   Google DeepMind announced AlphaGenome 2, a DNA sequence model that predicts how genetic variants affect specific human cell types and states. Trained on more than 107 million individual cell profiles, it reported nearly twice as many causal variant identifications as the original AlphaGenome on the TenK10K dataset. It is available for non-commercial research through the AlphaGenome API, with commercial research access in private preview.

3. 23:00
   The Verge · AIPicks

   Google DeepMind Unveils AlphaGenome 2 for Cell-Specific Genetic Predictions

   Google DeepMind has unveiled AlphaGenome 2, a successor to AlphaGenome that predicts how genetic variants affect individual cell types and states. Trained on more than 100 million cell profiles across 68 tissues, it identified nearly twice as many variants that can change gene expression in cells as its previous state-of-the-art model, according to the company. Google says it is available today for non-commercial research through the AlphaGenome API, with a limited private preview for commercial research.

Trends compare the same continuously observed participants, which may cover fewer sources than current heat. Point or click to inspect hourly heat, or use left and right arrow keys.