Machine learning technique developed to predict the biological age of muscles- Technology News, Firstpost

A novel machine learning technique that would predict the biological age of a muscle and help combat sarcopenia has been developed. Sarcopenia is one of the major age-related processes and involves the loss of skeletal muscles and its function. The deep-learning based model can be used to estimate the relevant importance of the genetic and epigenetic factors driving this process within many age groups. "We believe that the most effective anti-ageing therapy should be tissue-specific, so we focused on the development of tissue-specific biomarkers of ageing. This work is an example of a marker of skeletal muscle tissue," said Polina Mamoshina, senior scientist at Insilico Medicine – a US-based next-generation artificial intelligence company.