Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries

My son Max, the Director of Sport Science at Resilient Code and Chief Science Officer at Exsurgo Technologies, has turned into quite an analytics nerd (check him out on twitter at @strong_science, but he saves his good stuff for Instagram where you can follow him at "strong_by_science"). Max and Resilient Code co-founder Dr. Dustin Nabhan have been educating me on the use of Agent-based Models (ABM) as a technique to predict and prevent injuries in athletes, especially high-caliber professional athletes. Unlike the weekend warrior like myself, preventing career-ending injuries can translate into tens of millions of dollars of additional income for professional athletes[1].