Biology of Sport

An innovative RPE-based approach using machine learning to analyse starter and substitute training load in soccer

Francesco Laterza 1, 2
,
Karim Chamari 3, 4
,
Giuseppe Caminiti 5, 6
,
Giuseppe Annino 7
,
Marco Beato 2, 8
,
Antonio Bovenzi 9
,
Rosario D’Onofrio 2
,
Vincenzo Manzi 2, 9

  1. Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy

  2. Department of Education and Sport Sciences, Pegaso Telematic University, 80143 Naples, Italy

  3. Higher Institute of Sport and Physical Education of Ksar-Said, University of La Manouba, Manouba, Tunisia

  4. Naufar Center, Doha, Qatar

  5. Department of Human Science and Promotion of Quality of Life, San Raffaele Open University, 00166 Rome, Italy

  6. Cardiology Rehabilitation Unit, IRCCS San Raffaele, Rome, Italy

  7. Department of Systems Medicine, University of Rome Tor Vergata, Roma, Italy

  8. Department of Performance and Sport Science, Hellas Verona, Verona, Italy

  9. Pisa Sporting Club, Pisa, Italy

Biol Sport. 2026;43:1473–1485

DOI: https://doi.org/10.5114/biolsport.2026.162046
Data publikacji online: 2026/06/10
Article file
104_05257_Article.pdf
Confronting perimenopausal women’s knowledge of coronary heart disease with their health behaviours. Controversial role of hormone replacement therapy in the protection of coronary heart disease
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