一个新的人工智能模型利用医疗和生活方式数据提前20年预测超过1,000种疾病。 A new AI model predicts over 1,000 diseases up to 20 years in advance using medical and lifestyle data.

欧洲研究人员开发的名为Delphi-2M的新人工智能模型,通过分析医疗史、生活方式因素和人口数据,可以提前20年预测1 000多种疾病的风险。 A new AI model called Delphi-2M, developed by European researchers, can predict the risk of over 1,000 diseases up to 20 years in advance by analyzing medical history, lifestyle factors, and demographic data. 它接受联合王国生物库数据培训,并在丹麦得到验证,利用基于变压器的技术预测健康轨迹,准确匹配或超过现有模型。 Trained on UK Biobank data and validated in Denmark, it uses transformer-based technology to forecast health trajectories with accuracy matching or exceeding existing models. 该工具旨在使早期预防护理、改进资源规划以及支持临床决策成为可能,尽管尚未准备好广泛临床使用。 The tool aims to enable earlier preventive care, improve resource planning, and support clinical decision-making, though it is not yet ready for widespread clinical use.