(AUGUST 23, 2021; phys.org)
Researchers have developed a mathematical model that can predict the optimum exercise regimen for building muscle.
The researchers, from the University of Cambridge, used methods of theoretical biophysics to construct the model, which can tell how much a specific amount of exertion will cause a muscle to grow and how long it will take. The model could form the basis of a software product, where users could optimize their exercise regimens by entering a few details of their individual physiology.
The model is based on earlier work by the same team, which found that a component of muscle called titin is responsible for generating the chemical signals which affect muscle growth.
Eventually, the researchers hope to produce a user-friendly software-based application that could give individualized exercise regimens for specific goals
Read the rest from phys.org: Mathematical model predicts best way to build muscle)