AI-Driven Biological Clock Predicts Health Outcomes and Diseases
TL;DR Summary
This study introduces LifeClock, a comprehensive biological aging clock based on routine clinical data from electronic health records (EHRs), utilizing a transformer-based model called EHRFormer to predict biological age across the full human lifespan and assess its association with disease risks and survival outcomes, demonstrating high accuracy and potential for personalized medicine.
Topics:health#aging#biological-clock#disease-prediction#ehr-data#health-and-medicine#machine-learning
- A full life cycle biological clock based on routine clinical data and its impact in health and diseases Nature
- AI-powered LifeClock forecasts diseases years before symptoms appear News-Medical
- Scientists develop groundbreaking AI tool with ability to predict future events: 'It really does seem like it turns out to be' The Cool Down
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