Development of a Prescriptive Evidence-Aggregation System for Athletic
Performance, Recovery, and Injury Rehabilitation

Ansh Riyal; Taruna Agarwal; John Leddo; Dev Agarwal; Sophia Kim; Rishik Uppalapati; Dhruv; Suri; Arjan Dhillon; Shree Garg; Dhairya Garg; Rumina Khan; Rushika Kuppuri; Rishik Vanga; Vibhum Vanga; Mahathi Girla; Maahika Challagulla; Srikaran Yelimati; Aarnavi Burugu; Tatva Duggineni; Diya Doshi

doi:10.46609/IJSSER.2026.v11i06.023

Title: Development of a Prescriptive Evidence-Aggregation System for Athletic Performance, Recovery, and Injury Rehabilitation
Authors: Ansh Riyal, Taruna Agarwal, John Leddo, Dev Agarwal, Sophia Kim, Rishik Uppalapati, Dhruv, Suri, Arjan Dhillon, Shree Garg, Dhairya Garg, Rumina Khan, Rushika Kuppuri, Rishik Vanga, Vibhum Vanga, Mahathi Girla, Maahika Challagulla, Srikaran Yelimati, Aarnavi Burugu, Tatva Duggineni, Diya Doshi
Journal: International Journal of Social Science and Economic Research (IJSSER) ISSN: 2455-8834 Volume: 11 Issue: 6 Publication Date: June 2026 DOI: 10.46609/IJSSER.2026.v11i06.023
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Ansh Riyal, Taruna Agarwal, John Leddo, Dev Agarwal, Sophia Kim, Rishik Uppalapati, Dhruv, Suri, Arjan Dhillon, Shree Garg, Dhairya Garg, Rumina Khan, Rushika Kuppuri, Rishik Vanga, Vibhum Vanga, Mahathi Girla, Maahika Challagulla, Srikaran Yelimati, Aarnavi Burugu, Tatva Duggineni, Diya Doshi MyEdMaster, LLC
MLA 8 Leddo, John. "Development of a Prescriptive Evidence-Aggregation System for Athletic Performance, Recovery, and Injury Rehabilitation." Int. j. of Social Science and Economic Research, vol. 11, no. 6, June 2026, pp. 2789-2797, doi.org/10.46609/IJSSER.2026.v11i06.023. Accessed June 2026. APA 6 Leddo, J. (2026, June). Development of a Prescriptive Evidence-Aggregation System for Athletic Performance, Recovery, and Injury Rehabilitation. Int. j. of Social Science and Economic Research, 11(6), 2789-2797. Retrieved from https://doi.org/10.46609/IJSSER.2026.v11i06.023 Chicago Leddo, John. "Development of a Prescriptive Evidence-Aggregation System for Athletic Performance, Recovery, and Injury Rehabilitation." Int. j. of Social Science and Economic Research 11, no. 6 (June 2026), 2789-2797. Accessed June, 2026. https://doi.org/10.46609/IJSSER.2026.v11i06.023.
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ABSTRACT: Athletic performance is influenced by nutrition, exercise prescription, sleep, recovery, supplementation, psychology, and injury-management practices. Although thousands of studies have examined these variables, athletes and coaches often struggle to translate scientific findings into individualized recommendations. This paper proposes a comprehensive framework for a prescriptive evidence-aggregation system that continuously reviews scientific literature and generates personalized recommendations. Unlike descriptive systems that summarize evidence or predictive systems that estimate future outcomes, prescriptive systems identify actions most likely to achieve desired goals. The framework integrates systematic review methodology, evidence weighting, meta-analytic principles, machine learning, and optimization algorithms. Evidence from sports nutrition, exercise physiology, recovery science, sleep research, supplementation, and rehabilitation is reviewed. The proposed architecture is intended to improve athletic performance, accelerate recovery, reduce injury risk, and support long-term health. The paper concludes with methodological recommendations, validation strategies, and future research directions.

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