About this Course
This course explores the emerging frontier of AI-driven health, recovery, and decision-making in elite sport. Learners will discover how artificial intelligence integrates genomic data, hormonal profiles, biomarkers, wearables, mental health indicators, environmental data, and biomechanical inputs to build deeply personalised athlete-care systems. Drawing on leading research in precision medicine, immersive rehabilitation, smart stadium technology, and psychological monitoring, the course uncovers how AI is reshaping athlete health from prevention to recovery and long-term wellbeing. Through real-world examples, learners will examine how AI powers hyper-personalised medical plans, identifies early signs of fatigue or hormonal imbalance, transforms rehabilitation through AR/VR environments, and enhances mental resilience with neurofeedback and cognitive monitoring. The course also addresses the ethical challenges of AI in sports, from privacy and bias to autonomy and fair competition, and explores emerging governance frameworks to protect athletes in a rapidly evolving technological landscape. By the end of this course, learners will understand the major innovations defining the future of AI in athlete health and will be able to apply key principles of responsible, data-driven decision-making
What You'll Learn
- Understand how AI enables personalized health and recovery plans for athletes
- Analyze the use of biomarkers and wearable data for early risk detection
- Evaluate AR and VR applications in rehabilitation programs
- Assess ethical and governance challenges in athlete data monitoring
Prerequisites
- Basic computer and internet skills
- Ability to follow course materials in English
Instructors
Marisa Sáenz