MRI-based multi-organ clocks for healthy aging and disease assessment
8.0
来源：
Nature
关键字：
neural coding
发布时间：
2025-10-16 19:39
摘要：
This study presents seven MRI-based biological aging clocks (MRIBAGs) that integrate multi-organ data to enhance understanding of aging and disease risk. Utilizing data from over 313,000 individuals, the MRIBAGs link biological age to cognitive decline trajectories and systemic disease endpoints, including diabetes and mortality risk. The research identifies nine druggable genes as potential targets for anti-aging treatments, emphasizing the clinical relevance of these findings in predicting health outcomes and guiding future therapeutic strategies.
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domain_focus
1.0分
business_impact
1.0分
scientific_rigor
1.5分
timeliness_innovation
1.5分
investment_perspective
2.5分
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1.0分
team_institution_background
0.5分
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1.0分
关键证据
Developed seven MRI-based biological age gaps (MRIBAGs) linked to cognitive decline.
Identified potential druggable genes for anti-aging treatments.
Demonstrated clinical applicability in predicting disease risk and mortality.
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AI评分总结
This study presents seven MRI-based biological aging clocks (MRIBAGs) that integrate multi-organ data to enhance understanding of aging and disease risk. Utilizing data from over 313,000 individuals, the MRIBAGs link biological age to cognitive decline trajectories and systemic disease endpoints, including diabetes and mortality risk. The research identifies nine druggable genes as potential targets for anti-aging treatments, emphasizing the clinical relevance of these findings in predicting health outcomes and guiding future therapeutic strategies.