Measuring biological age: Insights from omics studies.
Exploring biological age through omics: Genomics, epigenomics, and microbiomics reveal insights into aging and health. π§¬π¬
December 18, 2025
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Discover the newest research about AI innovations in ποΈ Fitness & Sports.
Personalized fitness recommendations using machine learning for optimized national health strategy.
Personalized fitness via machine learning: XGBoost shows 0.789 MeanIoU, enhancing public health strategies. ππ€
December 1, 2025
SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach.
SHAP analysis reveals key injury risk factors in university football players: stress, sleep, and balance. β½π
November 20, 2025
Negative Effects of Fitness Apps on Users
Fitness apps may have negative effects on users, leading to feelings of shame and disengagement. πββοΈπ
November 12, 2025
TOPSIS driven complex picture fuzzy approach for speech matching and sports training feature recognition.
Innovative CPF-TOPSIS model enhances decision-making in speech and sports training, improving accuracy by addressing uncertainty. ππ€ποΈββοΈ
October 4, 2025
A time-efficient continuous ramp protocol for data-driven walking energy expenditure estimation across multiple speeds.
Efficient walking energy expenditure estimation via continuous ramp protocol shows 10.7% error, outperforming traditional methods. πΆββοΈπ
October 3, 2025
New Wearable Device Aims to Monitor Muscle Health in Older Adults
New wearable device monitors muscle health in older adults. π¦΅π Aims to detect sarcopenia for timely intervention.
September 29, 2025
Incentives for Increased Walking Through mHealth Apps
mHealth apps can boost daily walking by offering rewards like shopping coupons or train tickets. πΆββοΈποΈ
August 23, 2025
Increased Activity Levels Observed in Users of NHS Active 10 Walking Tracker
NHS Active 10 app users show increased walking activity. π Regular use leads to sustained benefits over time. πΆββοΈ
August 21, 2025
Analysis of the exercise intention-behavior gap among college students using explainable machine learning.
Exploring the exercise intention-behavior gap in college students reveals key factors influencing physical activity. ππββοΈ
August 19, 2025