Springbok Analytics, a leader in muscle health analysis, has made a big update to its body composition platform. The company has gone beyond its original innovation in automatic muscle segmentation to now offer a complete and accurate evaluation of muscle, bone, and fat using just one quick MRI scan. This new feature is made possible by their special technology, which recently got FDA 510(k) clearance. This is a big step forward in getting detailed, accurate body assessments. The platform includes a growing database of normal values that considers age, body size, and gender, allowing it to give clear measurements of muscle, fat, and bone. This single evaluation gives a clear picture of musculoskeletal health and how it changes as people age. Scott Magargee, the CEO and Co-Founder of Springbok Analytics, called this advancement a new standard for precise health evaluations. He said the technology gives detailed analysis of each muscle and tissue, giving users the tools they need to make better decisions, whether in elite sports, clinical research, or tracking signs of aging.
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Traditional ways of measuring body composition, like DXA scans and bioelectrical impedance, usually give general estimates of lean and fat mass but can’t tell the difference between types of tissue, spot muscle imbalances, or offer accurate regional data. While MRI is known for being better at measuring body composition, it has been hard to use in clinical settings because of the cost, the complexity, and the time it takes for manual analysis. Springbok’s platform solves these problems by including their body composition analysis in a streamlined MRI process that scans from the neck to the ankles in just 15 to 20 minutes. The platform uses automatic segmentation to analyze over 140 muscles, bones, and organs, and it also profiles fat in different areas like visceral, subcutaneous, intermuscular, intramuscular, and liver fat. It also provides automatic bone volume and composition measurements. A continuously growing set of normative data, categorized by age and gender, supports these assessments. The platform shares data through interactive 3D visualizations available via a secure interface. Dr. Silvia Blemker, Chief Scientific Officer and Co-Founder, said Springbok has changed how MRI is used in body composition analysis by automating a process that used to take a lot of manual work. This single-scan assessment removes the need for multiple MRI sessions and separate reports, making advanced analysis available to researchers, coaches, and people looking for detailed insights about their bodies.
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Springbok’s all-in-one muscle and body composition analysis helps athletes, health programs, and performance experts by giving objective data to set baselines, track progress over time, and support healthy aging. The ability to view detailed tissue-level information reduces the number of tests needed and provides trainers, coaches, and doctors with a rich dataset to align treatment plans and measure success. Andy Galpin, Executive Director of the Human Performance Center at Parker University and Co-Founder of Rapid Health Optimization, praised Springbok’s depth of useful data from a single scan. He noted that the technology replaces old or subjective assessments with clear, objective insights that can guide health and performance improvements.
The technology’s age-adjusted tissue profiling also helps clinical trials focused on metabolic diseases and muscle-wasting conditions like sarcopenia by offering more sensitive and accurate endpoints. Judy Toran Cousin, Venture Partner at Anthropy Partners, pointed out the healthcare industry’s long need for reliable tools to monitor muscle health as people age. She said that Springbok’s integrated body composition platform provides precise, objective data that helps doctors make informed decisions. By bridging the gap between advanced research and practical patient care, this technology supports meaningful progress in preventive health.
Springbok’s analysis gives detailed data on muscle mass, quality, and fat infiltration, all compared to age and gender. This helps detect muscle decline early before it affects function, allowing for targeted interventions to preserve muscle health and evaluate the effectiveness of treatments or lifestyle changes. The platform also offers clear visual reports to help motivate patients to stay committed to longevity and wellness programs.
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