AI自主发现长寿药物：中国学者开发AI智能体平台，从海量数据中挖掘出数百种抗衰老干预措施

Core Insights - The article discusses a groundbreaking study that utilizes AI to discover aging interventions from extensive molecular data, highlighting the potential of AI in revolutionizing aging research [4][26][28]. Group 1: Research Development - The study introduces the ClockBase Agent, an AI platform that integrates over 40 aging clock models to analyze millions of molecular profiles from humans and mice, identifying over 500 interventions that significantly reduce biological age [4][10][15]. - The research team analyzed 43,602 intervention-control comparisons, revealing that 5,756 (13.2%) interventions exhibited significant age-regulating effects [15][18]. Group 2: Methodology - The ClockBase Agent employs a multi-agent system that functions like professional bioinformaticians, automatically parsing experimental data, generating hypotheses, and producing scientific reports [12][13]. - The system consists of three core agents: Coding Agent for data processing, Reviewer Agent for evaluating interventions, and Report Agent for integrating findings into readable reports [13]. Group 3: Key Findings - The study confirmed the biological relevance of aging clocks, with interventions concentrated in aging-related pathways such as cellular senescence and longevity regulation [18]. - Experimental validation of the compound Ouabain demonstrated its ability to delay aging in elderly mice, improve heart function, and reduce neuroinflammation [19][22][24]. Group 4: Implications and Future Outlook - The ClockBase Agent signifies a paradigm shift in aging research from hypothesis-driven to data-driven approaches, showcasing how AI can extract new knowledge from existing data [26][28]. - The platform is publicly available, allowing researchers to query the effects of various interventions, thus democratizing longevity medicine [26][28].