Exposome-wide patterns predict brain health in aging - PubMed
5 hours ago
- #brain health
- #machine learning
- #exposome
- The study uses Brain Age Gap (BAG) as an indicator of grey matter health.
- Machine learning predicted BAG based on 261 exposome variables from UK Biobank.
- Key contributing domains include cardiovascular and bone health, alcohol and smoking, nutrition, and diabetes.
- Life period and duration of exposure are crucial factors.
- Early prevention in cardiovascular and metabolic health is recommended for lifelong brain health.