Home About Services Research Blog Programs Members Contact
Blog & Podcast

Research Translated

Peer-reviewed findings broken down into practical coaching insights. Listen, learn, apply.

Podcast Episode 1 March 2026

Machine Learning for Military Performance Prediction

Two papers from Medicine & Science in Sports & Exercise covering ML prediction and classification of military occupational task performance.

~8 min

Predicting Maximal Military Occupational Task Performance from Physical Fitness Tests Using Machine Learning

McCarthy, A., Wills, J.A., Fuller, J.T., Cassidy, S., Nindl, B.C., & Doyle, T.L.A.

Medicine & Science in Sports & Exercise, 2025
SVR predicted lift-to-place max weight to within ±1.77 kg (NRMSE = 4.44%) using 4 physical tests. IMTP peak force, loaded CMJ height, and body composition were the strongest predictors.
View Paper

Strength, Jump Height, Landing, and Mobility Metrics Predict High and Low Performers of a Fire and Move Assessment

McCarthy, A., Fuller, J.T., Wills, J.A., Cassidy, S., Lovalekar, M., Nindl, B.C., & Doyle, T.L.A.

Medicine & Science in Sports & Exercise, 2025
Total body strength and jump height (Factor 1) was six times more influential than any other factor. Logistic regression achieved 100% classification accuracy. Cohen's d = 2.15.
View Paper
Machine Learning Military SVR Classification IMTP Strength MSSE
Coming Soon Episode 2

Reliability and Validity of the HumanTrak Markerless Motion Capture System

Examining the measurement properties of the HumanTrak system for clinical and performance assessment applications.

Markerless Motion Capture Reliability Validity HumanTrak ICC

Want to discuss a topic or collaborate on a research breakdown?

Get in Touch