{"id":492,"date":"2026-11-14T11:30:00","date_gmt":"2026-11-14T06:00:00","guid":{"rendered":"https:\/\/akshaymaurya.in\/blog\/?p=492"},"modified":"2026-11-14T07:46:58","modified_gmt":"2026-11-14T02:16:58","slug":"alphagenome-2-deepmind-dna-hindi","status":"publish","type":"post","link":"https:\/\/akshaymaurya.in\/blog\/alphagenome-2-deepmind-dna-hindi\/","title":{"rendered":"Google DeepMind AlphaGenome 2 \u0915\u094d\u092f\u093e \u0939\u0948: DNA \u0915\u0947 \u092c\u0926\u0932\u093e\u0935\u094b\u0902 \u0915\u093e \u0905\u0938\u0930 \u0905\u092c \u0939\u0930 Cell Type \u0915\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947"},"content":{"rendered":"\n<p>Google DeepMind \u0928\u0947 11 \u0928\u0935\u0902\u092c\u0930 2026 \u0915\u094b <a href=\"https:\/\/deepmind.google\/blog\/alphagenome-2-deciphering-how-cells-read-dna-to-better-understand-disease\/\" target=\"_blank\" rel=\"noopener\">AlphaGenome 2<\/a> \u0932\u0949\u0928\u094d\u091a \u0915\u093f\u092f\u093e \u0939\u0948\u0964 \u092f\u0939 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f DNA \u092e\u0947\u0902 \u090f\u0915 \u091b\u094b\u091f\u093e \u0938\u093e \u092c\u0926\u0932\u093e\u0935 \u0936\u0930\u0940\u0930 \u0915\u0940 \u0915\u093f\u0938 \u0916\u093e\u0938 cell \u092e\u0947\u0902 \u0905\u0938\u0930 \u0915\u0930\u0947\u0917\u093e\u0964 \u092a\u0939\u0932\u0947 \u0915\u0947 model DNA \u0915\u093e \u0905\u0938\u0930 \u092a\u0942\u0930\u0947 tissue \u0915\u0947 \u0914\u0938\u0924 \u0915\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 \u092c\u0924\u093e\u0924\u0947 \u0925\u0947, \u092a\u0930 AlphaGenome 2 \u0905\u092c cell type \u0915\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 \u092c\u0924\u093e\u0924\u093e \u0939\u0948\u0964 DeepMind \u0915\u093e \u0926\u093e\u0935\u093e \u0939\u0948 \u0915\u093f \u092f\u0939 \u092a\u0939\u0932\u0947 \u0935\u093e\u0932\u0947 model \u0938\u0947 \u0932\u0917\u092d\u0917 \u0926\u094b\u0917\u0941\u0928\u0947 \u0910\u0938\u0947 variant \u092a\u0939\u091a\u093e\u0928\u0924\u093e \u0939\u0948 \u091c\u094b gene expression \u092c\u0926\u0932\u0924\u0947 \u0939\u0948\u0902\u0964 \u092c\u0940\u092e\u093e\u0930\u0940 \u0938\u0947 \u091c\u0941\u0921\u093c\u0947 \u091c\u093c\u094d\u092f\u093e\u0926\u093e\u0924\u0930 DNA \u092c\u0926\u0932\u093e\u0935 non coding \u0939\u093f\u0938\u094d\u0938\u0947 \u092e\u0947\u0902 \u0939\u094b\u0924\u0947 \u0939\u0948\u0902, \u0914\u0930 \u0905\u092c \u0924\u0915 \u092f\u0939 \u0938\u092e\u091d\u0928\u093e \u092e\u0941\u0936\u094d\u0915\u093f\u0932 \u0925\u093e \u0915\u093f \u0935\u0947 \u0915\u093f\u0938 cell \u092e\u0947\u0902 \u0915\u093e\u092e \u0915\u0930\u0924\u0947 \u0939\u0948\u0902\u0964<\/p>\n<h2>\u0915\u094d\u092f\u093e \u0939\u0941\u0906: AlphaGenome 2 \u0915\u094d\u092f\u093e \u0939\u0948<\/h2>\n<p>AlphaGenome 2 \u090f\u0915 deep learning model \u0939\u0948 \u091c\u094b DNA sequence \u0915\u094b \u092a\u0922\u093c\u0915\u0930 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0935\u0939 \u0915\u093f\u0938\u0940 \u0916\u093e\u0938 cell \u092e\u0947\u0902 \u0915\u0948\u0938\u0947 \u092a\u0922\u093c\u093e \u091c\u093e\u090f\u0917\u093e\u0964 \u0906\u092a \u0907\u0938\u0947 \u0926\u0938 \u0932\u093e\u0916 letter \u0924\u0915 \u0932\u0902\u092c\u093e DNA \u0915\u093e \u091f\u0941\u0915\u0921\u093c\u093e \u0926\u0947\u0924\u0947 \u0939\u0948\u0902, \u0914\u0930 \u0938\u093e\u0925 \u092e\u0947\u0902 \u090f\u0915 condition \u092c\u0924\u093e\u0924\u0947 \u0939\u0948\u0902, \u091c\u0948\u0938\u0947 \u0915\u094b\u0908 tissue, cell type \u092f\u093e cell state\u0964 Model \u092b\u093f\u0930 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0909\u0938 cell \u092e\u0947\u0902 \u0915\u094c\u0928 \u0938\u0947 gene active \u0939\u094b\u0902\u0917\u0947, \u0914\u0930 \u090f\u0915 single letter \u092c\u0926\u0932\u093e\u0935 \u0938\u0947 \u0915\u094d\u092f\u093e \u092b\u0930\u094d\u0915 \u092a\u0921\u093c\u0947\u0917\u093e\u0964 Research \u0915\u0947 \u0932\u093f\u090f \u092f\u0939 \u0906\u091c \u0938\u0947 AlphaGenome API \u0915\u0947 \u091c\u093c\u0930\u093f\u090f \u0909\u092a\u0932\u092c\u094d\u0927 \u0939\u0948, \u0914\u0930 commercial research \u0915\u0947 \u0932\u093f\u090f \u092f\u0939 private preview \u092e\u0947\u0902 \u0939\u0948\u0964 \u0938\u093e\u0925 \u092e\u0947\u0902 interactive Colab tutorials \u092d\u0940 \u0926\u093f\u090f \u0917\u090f \u0939\u0948\u0902\u0964<\/p>\n<h2>\u092a\u0939\u0932\u0947 \u0935\u093e\u0932\u0947 AlphaGenome \u0938\u0947 \u0915\u094d\u092f\u093e \u0905\u0932\u0917 \u0939\u0948<\/h2>\n<p>\u092a\u0939\u0932\u093e AlphaGenome \u091c\u0928\u0935\u0930\u0940 2026 \u092e\u0947\u0902 Nature \u092e\u0947\u0902 publish \u0939\u0941\u0906 \u0925\u093e, \u0914\u0930 \u0935\u0939 DNA variant \u0915\u093e \u0905\u0938\u0930 \u0939\u091c\u093e\u0930\u094b\u0902 tissue sample \u0915\u0947 \u0914\u0938\u0924 \u0915\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 \u092c\u0924\u093e\u0924\u093e \u0925\u093e\u0964 \u0926\u094b \u092e\u0939\u0940\u0928\u0947 \u092a\u0939\u0932\u0947 DeepMind \u0928\u0947 AlphaGenome Atlas \u092d\u0940 \u091c\u093e\u0930\u0940 \u0915\u093f\u092f\u093e \u0925\u093e, \u091c\u093f\u0938\u092e\u0947\u0902 human genome \u0915\u0947 \u0938\u092d\u0940 9 billion possible single letter \u092c\u0926\u0932\u093e\u0935\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f prediction \u092a\u0939\u0932\u0947 \u0938\u0947 calculate \u0915\u0930\u0915\u0947 \u0930\u0916\u0947 \u0917\u090f \u0925\u0947\u0964 \u092a\u0930 \u0907\u0928 \u0926\u094b\u0928\u094b\u0902 \u092e\u0947\u0902 \u090f\u0915 \u0915\u092e\u0940 \u0925\u0940, \u090f\u0915 variant \u0915\u093f\u0938\u0940 \u0916\u093e\u0938 cell \u092e\u0947\u0902 \u0939\u0940 \u0905\u0938\u0930 \u0915\u0930 \u0938\u0915\u0924\u093e \u0939\u0948, \u0914\u0930 tissue \u0915\u0947 \u0914\u0938\u0924 \u092e\u0947\u0902 \u0909\u0938\u0915\u093e signal \u0926\u092c \u091c\u093e\u0924\u093e \u0925\u093e\u0964 AlphaGenome 2 \u0907\u0938 \u0915\u092e\u0940 \u0915\u094b \u0926\u0942\u0930 \u0915\u0930\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 conditional model \u0939\u0948, \u092f\u093e\u0928\u0940 \u092f\u0939 \u090f\u0915 \u092c\u093e\u0930 \u092e\u0947\u0902 \u090f\u0915 \u0939\u0940 condition \u0915\u0947 \u0932\u093f\u090f prediction \u0915\u0930\u0924\u093e \u0939\u0948, \u0914\u0930 \u0909\u0938 condition \u0915\u094b network \u0915\u0947 \u0939\u0930 stage \u092a\u0930 input \u0915\u0947 \u0924\u094c\u0930 \u092a\u0930 \u0907\u0938\u094d\u0924\u0947\u092e\u093e\u0932 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/p>\n<h2>100 Million Cell Profiles: Training \u0915\u093e Scale<\/h2>\n<p>AlphaGenome 2 \u0915\u094b 68 tissues \u0915\u0947 100 million \u0938\u0947 \u091c\u093c\u094d\u092f\u093e\u0926\u093e individual cell profiles \u092a\u0930 train \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0939\u0948\u0964 Technical paper \u0915\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 \u092f\u0939 \u0938\u0902\u0916\u094d\u092f\u093e 107 million \u0938\u0947 \u091c\u093c\u094d\u092f\u093e\u0926\u093e \u0939\u0948\u0964 \u092f\u0939 data human \u0914\u0930 mouse \u0926\u094b\u0928\u094b\u0902 \u0938\u0947 \u0906\u092f\u093e \u0939\u0948\u0964 Model \u0915\u094b 637 \u0924\u0930\u0939 \u0915\u0940 human cell \u0914\u0930 311 \u0924\u0930\u0939 \u0915\u0940 mouse cell \u092a\u0930 train \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0939\u0948, \u092a\u0930 \u092f\u0939 \u0938\u093f\u0930\u094d\u092b \u0907\u0928\u094d\u0939\u0940\u0902 \u0924\u0915 \u0938\u0940\u092e\u093f\u0924 \u0928\u0939\u0940\u0902 \u0939\u0948\u0964 TenK10K \u0928\u093e\u092e \u0915\u0947 single cell immune dataset \u092a\u0930 AlphaGenome 2 \u0928\u0947 90 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 precision \u092a\u0930 30 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 causal variant recover \u0915\u093f\u090f, \u091c\u092c\u0915\u093f \u092a\u0939\u0932\u0947 \u0935\u093e\u0932\u093e model single cell data \u092a\u0930 fine tune \u0939\u094b\u0928\u0947 \u0915\u0947 \u092c\u093e\u0926 \u092d\u0940 \u0938\u093f\u0930\u094d\u092b 16 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0924\u0915 \u092a\u0939\u0941\u0902\u091a\u093e \u0925\u093e\u0964 Directional gene effect \u092e\u0947\u0902 \u092d\u0940 \u092f\u0939 43 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u092c\u0928\u093e\u092e 23 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0938\u0947 \u0906\u0917\u0947 \u0930\u0939\u093e\u0964<\/p>\n<h2>ETS2 Example: 30 \u092e\u093f\u0928\u091f \u092e\u0947\u0902 \u0921\u0947\u0922\u093c \u0938\u093e\u0932 \u0915\u093e \u0915\u093e\u092e<\/h2>\n<p>AlphaGenome 2 \u0915\u0940 \u0938\u092c\u0938\u0947 \u0926\u093f\u0932\u091a\u0938\u094d\u092a \u0915\u0939\u093e\u0928\u0940 ETS2 gene \u0938\u0947 \u091c\u0941\u0921\u093c\u0940 \u0939\u0948\u0964 2024 \u092e\u0947\u0902 researchers \u0928\u0947 \u092a\u093e\u092f\u093e \u0925\u093e \u0915\u093f inflammatory bowel disease \u092f\u093e\u0928\u0940 IBD \u0915\u093e \u090f\u0915 driver ETS2 gene \u0939\u0948, \u091c\u094b immune cell \u092e\u0947\u0902 \u090f\u0915 DNA variant \u0915\u0940 \u0935\u091c\u0939 \u0938\u0947 \u091c\u093c\u094d\u092f\u093e\u0926\u093e active \u0939\u094b \u091c\u093e\u0924\u093e \u0939\u0948\u0964 \u0907\u0938 \u0916\u094b\u091c \u092e\u0947\u0902 \u0921\u0947\u0922\u093c \u0938\u093e\u0932 \u0915\u0947 experiment \u0932\u0917\u0947 \u0925\u0947\u0964 DeepMind \u0915\u0940 team \u0928\u0947 AlphaGenome 2 \u0938\u0947 \u0938\u093f\u0930\u094d\u092b 30 \u092e\u093f\u0928\u091f \u092e\u0947\u0902 \u092f\u0939 prediction \u0915\u0930 \u0932\u093f\u092f\u093e \u0915\u093f \u092f\u0947 variant \u0906\u0902\u0924 \u0915\u0940 immune cell \u092f\u093e\u0928\u0940 macrophage \u092e\u0947\u0902 ETS2 \u0915\u0940 activity \u0915\u094b selectively \u092c\u0922\u093c\u093e\u0924\u0947 \u0939\u0948\u0902\u0964 Nature \u0915\u0940 report \u092e\u0947\u0902 Francis Crick Institute \u0915\u0947 James Lee \u0928\u0947 \u092d\u0940 \u0907\u0938 \u0915\u093e\u092e \u0915\u0940 \u0924\u093e\u0930\u0940\u092b \u0915\u0940 \u0939\u0948, \u0935\u0947 \u0939\u0940 2024 \u0935\u093e\u0932\u0940 study \u0915\u0947 lead \u0925\u0947\u0964<\/p>\n<h2>Researchers \u0907\u0938\u0947 \u0915\u0948\u0938\u0947 \u0907\u0938\u094d\u0924\u0947\u092e\u093e\u0932 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902<\/h2>\n<p>Non commercial research \u0915\u0947 \u0932\u093f\u090f AlphaGenome 2 \u0906\u091c \u0938\u0947 AlphaGenome API \u0915\u0947 \u091c\u093c\u0930\u093f\u090f \u092e\u0941\u092b\u094d\u0924 \u0909\u092a\u0932\u092c\u094d\u0927 \u0939\u0948\u0964 Commercial research \u0915\u0947 \u0932\u093f\u090f \u092f\u0939 private preview \u092e\u0947\u0902 \u0939\u0948, \u092f\u093e\u0928\u0940 invite \u092e\u093f\u0932\u0928\u0947 \u092a\u0930 \u0939\u0940 \u092e\u093f\u0932\u0947\u0917\u093e\u0964 DeepMind \u0928\u0947 expression conditioning \u0915\u0947 \u0932\u093f\u090f interactive Colab tutorials \u092d\u0940 \u0926\u093f\u090f \u0939\u0948\u0902\u0964 \u091c\u0932\u094d\u0926 \u0939\u0940 AlphaGenome 2 Skills Google Antigravity \u092e\u0947\u0902 \u092d\u0940 \u0906\u090f\u0902\u0917\u0947\u0964 DeepMind community \u0938\u0947 use case \u092d\u0940 \u092e\u093e\u0902\u0917 \u0930\u0939\u093e \u0939\u0948, 30 \u0928\u0935\u0902\u092c\u0930 \u0924\u0915 form \u092d\u0930\u0915\u0930 \u0905\u092a\u0928\u0947 project \u092c\u0924\u093e \u0938\u0915\u0924\u0947 \u0939\u0948\u0902, \u0914\u0930 \u091a\u0941\u0928\u0947 \u0917\u090f project \u0915\u094b extra quota \u0914\u0930 credits \u092e\u093f\u0932 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/p>\n<h2>\u0915\u094d\u092f\u093e \u092f\u0939 \u0907\u0932\u093e\u091c \u092f\u093e Diagnosis \u092e\u0947\u0902 \u0915\u093e\u092e \u0906\u090f\u0917\u093e: \u0938\u093e\u092b \u0938\u0940\u092e\u093e\u090f\u0902<\/h2>\n<p>\u092f\u0939\u093e\u0902 \u0938\u092c\u0938\u0947 \u091c\u093c\u0930\u0942\u0930\u0940 \u092c\u093e\u0924 \u0938\u093e\u092b \u0915\u0930 \u0926\u0947\u0902, AlphaGenome 2 \u0938\u093f\u0930\u094d\u092b research \u0915\u0947 \u0932\u093f\u090f \u0939\u0948\u0964 DeepMind \u0938\u093e\u092b \u0915\u0939\u0924\u093e \u0939\u0948 \u0915\u093f \u092f\u0939 model clinical \u092f\u093e diagnostic use \u0915\u0947 \u0932\u093f\u090f validate \u092f\u093e approve \u0928\u0939\u0940\u0902 \u0939\u0941\u0906 \u0939\u0948\u0964 \u092f\u093e\u0928\u0940 \u0907\u0938\u0938\u0947 \u0915\u093f\u0938\u0940 \u092e\u0930\u0940\u091c\u093c \u0915\u0940 \u092c\u0940\u092e\u093e\u0930\u0940 diagnose \u0928\u0939\u0940\u0902 \u0915\u0940 \u091c\u093e \u0938\u0915\u0924\u0940, \u0914\u0930 \u0928 \u0939\u0940 \u0907\u0938\u0938\u0947 \u0907\u0932\u093e\u091c \u0915\u093e \u092b\u0948\u0938\u0932\u093e \u0932\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964 \u0926\u0942\u0938\u0930\u0940 \u0938\u0940\u092e\u093e \u092f\u0939 \u0939\u0948 \u0915\u093f technical paper \u0905\u092d\u0940 preprint \u0939\u0948, \u092f\u093e\u0928\u0940 peer review \u0928\u0939\u0940\u0902 \u0939\u0941\u0906 \u0939\u0948\u0964 \u0924\u0940\u0938\u0930\u0940 \u0938\u0940\u092e\u093e \u092f\u0939 \u0939\u0948 \u0915\u093f headline test \u090f\u0915 immune cell dataset \u092a\u0930 \u0925\u093e, \u0907\u0938\u0932\u093f\u090f \u0936\u0930\u0940\u0930 \u0915\u0947 \u0926\u0942\u0938\u0930\u0947 \u0939\u093f\u0938\u094d\u0938\u094b\u0902 \u092e\u0947\u0902 performance \u0915\u092e established \u0939\u0948\u0964 \u0914\u0930 \u0938\u092c\u0938\u0947 \u092c\u0921\u093c\u0940 \u0938\u0940\u092e\u093e \u092f\u0939 \u0939\u0948 \u0915\u093f model \u0938\u093f\u0930\u094d\u092b 30 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 causal variant \u0939\u0940 recover \u0915\u0930\u0924\u093e \u0939\u0948, \u092f\u093e\u0928\u0940 10 \u092e\u0947\u0902 \u0938\u0947 7 \u0905\u092c \u092d\u0940 \u091b\u0942\u091f \u091c\u093e\u0924\u0947 \u0939\u0948\u0902\u0964 \u0907\u0938\u0932\u093f\u090f \u0907\u0938\u0947 \u090f\u0915 powerful research tool \u0938\u092e\u091d\u0947\u0902, medical breakthrough \u0928\u0939\u0940\u0902\u0964<\/p>\n<h2>\u0906\u092e \u092f\u0942\u091c\u0930 \u0915\u0947 \u0932\u093f\u090f \u0907\u0938\u0915\u093e \u092e\u0924\u0932\u092c \u0915\u094d\u092f\u093e \u0939\u0948<\/h2>\n<p>\u0906\u092e \u092f\u0942\u091c\u0930 \u0915\u0947 \u0932\u093f\u090f AlphaGenome 2 \u0915\u093e \u0938\u0940\u0927\u093e \u092b\u093e\u092f\u0926\u093e \u0906\u091c \u0928\u0939\u0940\u0902 \u0939\u0948, \u092a\u0930 \u0932\u0902\u092c\u0947 \u0938\u092e\u092f \u0915\u093e \u092b\u093e\u092f\u0926\u093e \u092c\u0921\u093c\u093e \u0939\u094b \u0938\u0915\u0924\u093e \u0939\u0948\u0964 \u092c\u0940\u092e\u093e\u0930\u0940 \u0938\u0947 \u091c\u0941\u0921\u093c\u0947 DNA \u092c\u0926\u0932\u093e\u0935\u094b\u0902 \u0915\u094b \u0938\u092e\u091d\u0928\u093e drug discovery \u0915\u0940 \u092a\u0939\u0932\u0940 \u0938\u0940\u0922\u093c\u0940 \u0939\u0948\u0964 \u0905\u0917\u0930 researchers \u0915\u094b \u092a\u0924\u093e \u091a\u0932 \u091c\u093e\u090f \u0915\u093f \u0915\u094c\u0928 \u0938\u093e variant \u0915\u093f\u0938 cell \u092e\u0947\u0902 \u092c\u0940\u092e\u093e\u0930\u0940 \u092c\u0922\u093c\u093e\u0924\u093e \u0939\u0948, \u0924\u094b \u0926\u0935\u093e \u0909\u0938\u0940 cell \u0915\u094b target \u0915\u0930\u0915\u0947 \u092c\u0928\u093e\u0908 \u091c\u093e \u0938\u0915\u0924\u0940 \u0939\u0948\u0964 \u092e\u0947\u0930\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 \u0938\u092c\u0938\u0947 \u092c\u0921\u093c\u0940 \u092c\u093e\u0924 \u092f\u0939 \u0939\u0948 \u0915\u093f \u092f\u0939 \u0915\u093e\u092e \u0905\u092c \u092e\u0939\u0940\u0928\u094b\u0902 \u0915\u0940 \u091c\u0917\u0939 \u092e\u093f\u0928\u091f\u094b\u0902 \u092e\u0947\u0902 \u0939\u094b\u0928\u0947 \u0932\u0917\u093e \u0939\u0948\u0964 \u092a\u0930 \u0909\u092e\u094d\u092e\u0940\u0926\u0947\u0902 \u0938\u0939\u0940 \u0930\u0916\u0947\u0902, \u092f\u0939 model \u092e\u0930\u0940\u091c\u093c\u094b\u0902 \u0924\u0915 \u092a\u0939\u0941\u0902\u091a\u0928\u0947 \u0938\u0947 \u0905\u092d\u0940 \u092c\u0939\u0941\u0924 \u0926\u0942\u0930 \u0939\u0948, \u0914\u0930 \u0907\u0938\u0915\u093e \u0905\u0938\u0930 \u0926\u0935\u093e\u0913\u0902 \u0914\u0930 \u0907\u0932\u093e\u091c \u092e\u0947\u0902 \u0926\u093f\u0916\u0928\u0947 \u092e\u0947\u0902 \u0938\u093e\u0932 \u0932\u0917\u0947\u0902\u0917\u0947\u0964 <a href=\"https:\/\/akshaymaurya.in\/blog\/hydrogen-1-0-science-model-hindi\/\">Hydrogen 1.0 science model<\/a> \u0915\u0940 \u0924\u0930\u0939 \u092f\u0939 \u092d\u0940 \u090f\u0915 science model \u0939\u0948, \u092a\u0930 \u0926\u094b\u0928\u094b\u0902 \u0915\u093e \u0915\u093e\u092e \u092c\u093f\u0932\u094d\u0915\u0941\u0932 \u0905\u0932\u0917 \u0939\u0948\u0964<\/p>\n<h2>\u0905\u0915\u094d\u0938\u0930 \u092a\u0942\u091b\u0947 \u091c\u093e\u0928\u0947 \u0935\u093e\u0932\u0947 \u0938\u0935\u093e\u0932<\/h2>\n<h3>AlphaGenome 2 \u0915\u094d\u092f\u093e \u0939\u0948<\/h3>\n<p>AlphaGenome 2 Google DeepMind \u0915\u093e \u0928\u092f\u093e AI model \u0939\u0948, \u091c\u094b \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f DNA \u092e\u0947\u0902 \u092c\u0926\u0932\u093e\u0935 \u0915\u093f\u0938\u0940 \u0916\u093e\u0938 cell type \u092e\u0947\u0902 gene expression \u0915\u094b \u0915\u0948\u0938\u0947 \u092c\u0926\u0932\u0924\u093e \u0939\u0948\u0964<\/p>\n<h3>AlphaGenome 2 \u092a\u0939\u0932\u0947 \u0935\u093e\u0932\u0947 model \u0938\u0947 \u0915\u0948\u0938\u0947 \u092c\u0947\u0939\u0924\u0930 \u0939\u0948<\/h3>\n<p>\u092a\u0939\u0932\u093e model tissue \u0915\u0947 \u0914\u0938\u0924 \u0915\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 prediction \u0915\u0930\u0924\u093e \u0925\u093e\u0964 AlphaGenome 2 \u090f\u0915 \u092c\u093e\u0930 \u092e\u0947\u0902 \u090f\u0915 cell type \u0915\u0947 \u0932\u093f\u090f prediction \u0915\u0930\u0924\u093e \u0939\u0948, \u0914\u0930 \u0932\u0917\u092d\u0917 \u0926\u094b\u0917\u0941\u0928\u0947 variant \u092a\u0939\u091a\u093e\u0928\u0924\u093e \u0939\u0948 \u091c\u094b gene expression \u092c\u0926\u0932\u0924\u0947 \u0939\u0948\u0902\u0964<\/p>\n<h3>\u0915\u094d\u092f\u093e AlphaGenome 2 \u0938\u0947 \u092c\u0940\u092e\u093e\u0930\u0940 diagnose \u0915\u0940 \u091c\u093e \u0938\u0915\u0924\u0940 \u0939\u0948<\/h3>\n<p>\u0928\u0939\u0940\u0902, \u092f\u0939 \u0938\u093f\u0930\u094d\u092b research \u0915\u0947 \u0932\u093f\u090f \u0939\u0948\u0964 DeepMind \u0938\u093e\u092b \u0915\u0939\u0924\u093e \u0939\u0948 \u0915\u093f \u092f\u0939 clinical \u092f\u093e diagnostic use \u0915\u0947 \u0932\u093f\u090f validate \u092f\u093e approve \u0928\u0939\u0940\u0902 \u0939\u0941\u0906 \u0939\u0948\u0964<\/p>\n<h3>AlphaGenome 2 \u0915\u0948\u0938\u0947 \u0907\u0938\u094d\u0924\u0947\u092e\u093e\u0932 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902<\/h3>\n<p>Non commercial research \u0915\u0947 \u0932\u093f\u090f \u092f\u0939 AlphaGenome API \u0915\u0947 \u091c\u093c\u0930\u093f\u090f \u092e\u0941\u092b\u094d\u0924 \u0909\u092a\u0932\u092c\u094d\u0927 \u0939\u0948\u0964 Commercial research \u0915\u0947 \u0932\u093f\u090f \u092f\u0939 private preview \u092e\u0947\u0902 \u0939\u0948\u0964<\/p>\n<h3>ETS2 example \u0915\u094d\u092f\u093e \u0925\u093e<\/h3>\n<p>2024 \u092e\u0947\u0902 researchers \u0928\u0947 \u092a\u093e\u092f\u093e \u0925\u093e \u0915\u093f ETS2 gene IBD \u092e\u0947\u0902 immune cell \u092e\u0947\u0902 \u091c\u093c\u094d\u092f\u093e\u0926\u093e active \u0939\u094b\u0924\u093e \u0939\u0948\u0964 AlphaGenome 2 \u0928\u0947 30 \u092e\u093f\u0928\u091f \u092e\u0947\u0902 \u092f\u0939 prediction \u0915\u0930 \u0932\u093f\u092f\u093e, \u091c\u092c\u0915\u093f original study \u092e\u0947\u0902 \u0921\u0947\u0922\u093c \u0938\u093e\u0932 \u0932\u0917\u0947 \u0925\u0947\u0964<\/p>\n<h3>AlphaGenome 2 \u0915\u0940 \u0938\u092c\u0938\u0947 \u092c\u0921\u093c\u0940 \u0938\u0940\u092e\u093e \u0915\u094d\u092f\u093e \u0939\u0948<\/h3>\n<p>\u092f\u0939 \u0938\u093f\u0930\u094d\u092b 30 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 causal variant \u0939\u0940 recover \u0915\u0930\u0924\u093e \u0939\u0948, \u092f\u093e\u0928\u0940 10 \u092e\u0947\u0902 \u0938\u0947 7 \u0905\u092c \u092d\u0940 \u091b\u0942\u091f \u091c\u093e\u0924\u0947 \u0939\u0948\u0902\u0964 \u0907\u0938\u0915\u093e paper preprint \u0939\u0948, \u0914\u0930 \u092f\u0939 clinical use \u0915\u0947 \u0932\u093f\u090f approve \u0928\u0939\u0940\u0902 \u0939\u0948\u0964<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google DeepMind \u0928\u0947 11 \u0928\u0935\u0902\u092c\u0930 2026 \u0915\u094b AlphaGenome 2 \u0932\u0949\u0928\u094d\u091a \u0915\u093f\u092f\u093e \u0939\u0948\u0964 \u092f\u0939 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f DNA \u092e\u0947\u0902 \u090f\u0915 \u091b\u094b\u091f\u093e \u0938\u093e \u092c\u0926\u0932\u093e\u0935 \u0936\u0930\u0940\u0930 \u0915\u0940 \u0915\u093f\u0938 \u0916\u093e\u0938 cell \u092e\u0947\u0902 \u0905\u0938\u0930 \u0915\u0930\u0947\u0917\u093e\u0964 \u092a\u0939\u0932\u0947 \u0915\u0947 model DNA \u0915\u093e \u0905\u0938\u0930 \u092a\u0942\u0930\u0947 tissue \u0915\u0947 \u0914\u0938\u0924 \u0915\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 \u092c\u0924\u093e\u0924\u0947 \u0925\u0947, \u092a\u0930 AlphaGenome 2 \u0905\u092c cell type \u0915\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 \u092c\u0924\u093e\u0924\u093e [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":493,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[1],"tags":[332,329,330,331,16],"class_list":["post-492","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-ai-in-healthcare","tag-alphagenome-2","tag-dna","tag-genomics","tag-google-deepmind"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/akshaymaurya.in\/blog\/wp-content\/uploads\/2026\/11\/thumb-alphagenome-2-deepmind-dna-hindi.jpg","_links":{"self":[{"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/posts\/492","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/comments?post=492"}],"version-history":[{"count":3,"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/posts\/492\/revisions"}],"predecessor-version":[{"id":509,"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/posts\/492\/revisions\/509"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/media\/493"}],"wp:attachment":[{"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/media?parent=492"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/categories?post=492"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/akshaymaurya.in\/blog\/wp-json\/wp\/v2\/tags?post=492"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}