🌐 EnglishEN

AI Cure is a research tool showing open data. Not medical advice. Discuss with your doctor. Terms

← Trials
🧪

Multimodal Machine Learning for Predicting Reduced Participation in Elite Youth Football

Recruitingn/aAges 15 Years - 19 YearsMalePalacky University
NCT07870460 on ClinicalTrials.gov ↗
💬

In plain words

What the trial is, and whether it could suit you

This study protocol describes a prospective longitudinal observational study designed to evaluate the accuracy of machine learning models in predicting the short-term (24-72 h) risk of reduced participation (training modification or absence due to health complaints, injury, or illness) among elite youth football players (categories U16 to U19). Full participation in training and matches is a key determinant of athletic development and squad availability in elite youth football. Conventional injury surveillance typically reduces athlete availability to a binary time-loss state and overlooks the continuum on which athletes remain active despite emerging fatigue, minor musculoskeletal complaints, or functional limitations. In this study, continuous multimodal monitoring integrates external training and match locomotion (Catapult Vector 10 Hz GNSS / 100 Hz IMU), nocturnal autonomic nervous

Sign in to get the eligibility rules as simple questions to take to your doctor.

Sign in
📋 Eligibility rules (as published)
Inclusion Criteria: * Registered player in the U16 or U19 squad of an elite football academy (SK Sigma Olomouc). * At least three years of structured football training within an organized academy programme. * Regular active participation in microcycle team training and competitive league matches. * Written informed assent by the player and written informed consent by a parent or legal guardian (for minor participants). * Monitoring compliance rate \> 80% during the initial 14-day passive run-in period. Exclusion Criteria: * Pre-existing severe musculoskeletal injury, orthopedic surgery, or neurological disorder preventing full participation at baseline. * Known cardiovascular, metabolic, or systemic disease contraindicating maximal athletic exertion. * Inability or refusal to wear continuous monitoring sensors (Catapult GNSS unit during training, WHOOP strap during sleep). * Prolonged absence from the squad due to non-medical administrative reasons (transfer, academic leave, disciplinary suspension).
💊

What it tests

  • Not listed
📍

Where

1 site
SK Sigma Olomouc Academy & AC Baluo, Palacký University Olomouc
Olomouc, Czechia
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
🛡️

AI Cure shows public evidence (Open Targets, ClinicalTrials.gov, PubMed, openFDA, DepMap, AlphaFold) with its source, and AI summaries that cite it — not medical advice and not a cure. Treatment decisions belong with your doctor. Research ideas are shared only with approved researchers and labs, who can test them. In an emergency call your local emergency number (112 in India and Europe, 911 in the US). AI Cure Terms of Use · Privacy