Precision training: unlocking the power of data-driven approaches
Keywords:
genetics, bioinformatics, time-course of recoveryAbstract
The presence of inter-individual variability in acute and chronic training responses among individuals is widely acknowledged within the scientific community. While the sources of this variability are yet to be fully understood the development of technologies and data science allows researchers and practitioners to make informed decisions. Data-driven approaches utilized real-time data analytics and biomarkers can potentially be used to fully understand the sources of variability and build predictive models of training adaptation. These methodologies can be particularly important for high-performance sport practitioners, as they can leverage the data to effectively manage fatigue and optimize training interventions, thereby enhancing athlete’s performance outcomes.
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