AI Model Identifies Blood Markers Linked to Physical Fitness
Researchers from MIT, GE HealthCare, and the U.S. Military Academy have developed an AI-based computational model that links molecular signals in blood to physical fitness levels. This approach enables more precise identification of biomarkers associated with fitness, which could advance athlete training and rehabilitation practices. The model uses network-based analysis, improving the prediction accuracy beyond traditional correlation methods.