Genetics and AI-Driven Sportomics: Empowering Parents and Coaches in Guiding Athletic Performance Enhancement

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Authors: Swapnaja B. More, Dhanshree Gajanan Pujari, Amrutha R Kenche, Deepthi Pilli, Deepshikha Satish
Cited by: 1

Abstract

Sports science is rapidly changing with new discoveries in molecular biology and artificial intelligence. Modern “omics” tools, such as genomics, proteomics, and metabolomics along with AI-based analytics, help us understand how a child’s body builds muscle, responds to training, and recovers after exercise. These technologies also help identify factors that may increase the risk of injury. Simple genetic tests, including variations like ACE I/D and ACTN3 R577X, provide insights into traits linked to endurance, strength, and muscle performance. Protein and metabolite testing, supported by AI models, can reveal how efficiently the body uses energy or repairs tissues after activity. This review article provides the most recent and up-to-date knowledge regarding modern technologies used for performance enhancement. These scientific tools are not meant to label or limit children. Instead, they help parents and coaches understand each child’s individual needs and support healthier training decisions. AI-driven interpretations can guide choices about training intensity, rest, recovery, and nutrition in a safe and personalized manner. Overall, this paper offers practical guidance for using molecular and AI-driven sportomics responsibly. Our goal is to empower parents and coaches with informed, balanced, and child-centric strategies for enhancing performance.

Fields of Study & Subjects

Genetics and Physical Performance Sports Performance and Training Muscle metabolism and nutrition

Publication details

Journal / source
Preprints.org
Publisher
MDPI AG
Publication date
8 January 2026
Document type
Preprint