新的AI工具V2P比以前更精确地预测基因突变引起的疾病,帮助诊断和治疗。 A new AI tool, V2P, predicts diseases from genetic mutations more accurately than before, aiding diagnosis and treatment.

Sinai山科学家开发的名为V2P的新的人工智能工具利用机器学习来预测基因突变引起的疾病,超出了目前仅评估损害的方法。 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. 通过大量遗传数据进行训练, 能够在患者测试中准确地排列真正的致病变体, 帮助更快地诊断, 引导治疗和药物开发, 治疗罕见和复杂的疾病. 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. 该工具于2025年12月15日在《自然通信》上发表,通过将基因变化与可能的健康结果联系起来,支持精密医学,预计今后的升级将改善疾病的特殊性。 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.