Machine learning to assist in building muscle

IMAGE: Insilico Medicine developed a novel deep-learning based model that predicts a biological age of a muscle. Thursday, July 5th, Rockville, MD - Insilico Medicine, a Rockville-based next-generation artificial intelligence company specializing in the application of deep learning for target identification, drug discovery and aging research announces the publication of a new research paper "Machine learning on human muscle transcriptomic data for biomarker discovery and tissue-specific drug target identification" in Frontiers in Genetics journal. Sarcopenia (from Greek "flesh poverty"), is one of the major age-related processes and involves the loss of skeletal muscle and its function. Age-associated muscle wasting remains an important clinical challenge that impacts hundreds of millions of older adults. It is associated with serious negative health outcomes such as falls, impaired standing balance, physical disability, and mortality.