[3P-887] A Machine Learning Model for Pathogenic Variant Prediction Integrating Variant- and Patient-Specific Contexts | The 48th Annual Meeting of the Molecular Biology Society of Japan

The 48th Annual Meeting of the Molecular Biology Society of Japan

Dec 3 - Dec 5, 2025Pacifico Yokohama

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The 48th Annual Meeting of the Molecular Biology Society of Japan

Dec 3 - Dec 5, 2025Pacifico Yokohama

[3P-887]A Machine Learning Model for Pathogenic Variant Prediction Integrating Variant- and Patient-Specific Contexts

○Haruko Nakagawa^1,2,5, Takashi Kamatani^2,3, Naoya Ishibashi², Satoru Aoyama², Fuyuki Miya^4,2, Sadakatsu Ikeda²(1. Department of Functional Genome Informatics, Medical Research Laboratory, Institute of Integrated Research, Institute of Science Tokyo, 2. Department of Precision Cancer Medicine, Institute of Science Tokyo Hospital, 3. Department of AI Technology Development, M&D Data Science Center, Institute of Integrated Research, Institute of Science Tokyo, 4. Center for Medical Genetics, Keio University School of Medicine, 5. Omics AI Research Team, Advanced General Intelligence in Science Program (AGIS), TRIP Headquarters, RIKEN)

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