What if a doctor could look at images of LeBron James’ legs and detect a weakened muscle that might make him more susceptible to an injury? Having that knowledge could allow James to strengthen the area, avoid missing games and perhaps give the future NBA Hall of Famer a chance to play into his mid-40s.
Imagine if Los Angeles Dodgers’ team doctors had access to a more detailed image of Shohei Ohtani’s elbow before he hurt it late in the 2023 season. Could Ohtani have won 20 games as a pitcher in 2024 on top of his historic 50-homer, 50-stolen-base season?
New technology from Charlottesville-based Springbok brings these scenarios into the realm of possibility. University of Virginia School of Engineering professor Silvia Blemker and School of Medicine professor Craig Meyer, along with former UVA School of Education kinesiology professor Joe Hart, who is now the orthopedics vice chair for research at the University of North Carolina, founded the company.
Springbok’s AI for MRI Is Game-Changing
For many years, the gold standard for detecting athletic injuries was magnetic resonance imaging, or MRI, but Springbok is changing the game with MuscleView, an artificial intelligence-based muscle health analysis of MRI images that received U.S. Food and Drug Administration clearance in October.
“Our technology provides important information about asymmetries, imbalances and areas of weakness that are used by clinicians to tailor training to meditate possible injury,” Blemker said. “Then, in terms of recovering from injury, the tech is used to help personalize and target training for more efficient and effective recovery and return to sport.”
Currently, players in the NBA, NFL, MLB and Premier League are using Springbok’s proprietary technology, patented through UVA Licensing & Ventures Group.
Springbok’s technology is also helping people with facioscapulohumeral muscular dystrophy, making Blemker, Meyer and Hart a slam-dunk for UVA’s Edlich-Henderson Innovator of the Year award.
“Springbok is a shining example of what can happen when a group of extremely smart people from various departments across Grounds get in a room together,” Richard W. Chylla, UVA Licensing & Ventures executive director, said. “And the list of long-term applications for the technology is endless. It isn’t just for athletes.”
Springbok turns black-and-white MRIs into color-coded, 3D renderings that measure and compare muscles to one another at a level of precision unavailable elsewhere.
Chief executive officer and co-founder Scott Magargee, chief technology officer Xue Feng, Savannah Benusa, Lara Riem, Matt Brown and several UVA alumni lead Springbok’s team.
Springbok’s breakthrough came when Feng developed an algorithm using artificial intelligence and machine learning to reduce the time to process each MRI scan from about 50 hours to one hour.
Hart said the technology has the potential to assist pro athletes and weekend warriors alike.
“Imagine going to the gym and the trainer telling you ‘Do this exercise and that exercise.’ Well, if the trainer knew exactly which muscle was smaller or bigger than normal, he or she could tell you the exercises that would most make use of that hour in the day you have to do your exercise,” Hart said.
Measuring Drug Effectiveness
The technology can also measure how effective a drug is at increasing muscle mass and improving function. Springbok has partnered with the FSHD Global Research Foundation, which supports top medical research into facioscapulohumeral muscular dystrophy.
“The ability to prescribe the most effective muscle treatments relies on precise measurements,” Hart said. “I think this is why Springbok will continue to succeed. We really are the best at quickly measuring and visualizing the sizes of each skeletal muscle in a way that’s easily understandable by patients and providers.”
Last month, Springbok raised more than $5 million in funding from the NBA and CAV Angels, a nonprofit group of UVA alumni, faculty, families, students and friends that invests in UVA-related companies and founders.
UVA’s 32nd annual Edlich-Henderson Innovator of the Year event is Feb. 20, from 3:30 to 6 p.m., at the UVA School of Data Science, and is free and open to the public. Parking in the Emmett/Ivy Garage is also free.