How Wearable Tech Is Predicting Your Next Injury

In this episode, Lucas and Luna explore how wearable tech is moving beyond recovery tracking to predict injuries before they happen. They focus on the concept of 'injury risk scores' generated by advanced algorithms that analyze running form, muscle load, and movement asymmetry. The conversation centers on a 2025 study from the University of Michigan that used smart insoles and wrist-worn sensors to predict overuse injuries in collegiate runners with 82 percent accuracy. Lucas breaks down the key metrics—like ground contact time, vertical oscillation, and training load—and explains how the technology is filtering down to consumer devices. Luna challenges the hype, asking whether these predictions are truly actionable or just anxiety-inducing. They discuss real-world examples from professional sports teams and the ethical questions around alert fatigue. The episode offers a concrete takeaway: what to look for in a wearable if you want injury prediction features, and why the data is more useful when combined with professional guidance. #InjuryPrediction #WearableTech #SportsScience #RunningAnalytics #SmartInsoles #Garmin #Whoop #UniversityOfMichigan #OveruseInjuries #Biomechanics #TrainingLoad #HealthTech #FitnessTrackers #Smartwatches #PreventiveHealth #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo