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A new AI tool, V2P, predicts diseases from genetic mutations more accurately than before, aiding diagnosis and treatment.
A new AI tool called V2P, developed by scientists at Mount Sinai, uses machine learning to predict the diseases caused by genetic mutations, going beyond current methods that only assess harm.
Trained on extensive genetic data, it accurately ranked true disease-causing variants in patient tests, aiding faster diagnosis and guiding treatment and drug development for rare and complex conditions.
The tool, published in Nature Communications on December 15, 2025, supports precision medicine by linking genetic changes to likely health outcomes, with future upgrades expected to improve disease specificity.
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Una nueva herramienta de IA, V2P, predice enfermedades de mutaciones genéticas con más precisión que antes, ayudando al diagnóstico y el tratamiento.