This research addresses exercise-related injuries by modeling individual physical capacity rather than relying on population averages. Using physiological and biomechanical data combined with machine learning, it aims to create personalized, dynamic thresholds for training. The goal is to prevent injury by aligning workload with real-time capacity, improving safety and long-term fitness outcomes.

This research investigates whether heat acclimation affects cold tolerance in soldiers. Participants undergo controlled cold exposure before and after intensive heat training. By measuring temperature regulation, sweating, and dexterity, the study aims to guide military deployment decisions and ensure soldiers can perform confidently across extreme environments.