Springbok

AI-powered muscle analytics for research, life sciences and human performance.

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Description

Springbok utilizes artificial intelligence to analyze MRI data, delivering comprehensive insights into muscle health. The technology transforms standard 2D MRI scans into detailed 3D musculoskeletal analyses, effectively creating a personalized digital twin. This allows for the quantification of individual muscle characteristics beyond traditional body composition estimates.

The platform quantifies metrics such as muscle quality, size, fat infiltration, and symmetry across numerous individual muscles. It provides precise, actionable data at the muscle level, supporting applications ranging from accelerating research and clinical trials in life sciences to optimizing performance and recovery strategies in elite sports, and tracking healthspan for preventative care. Springbok's process involves a non-invasive MRI scan, AI-driven processing, and delivery of detailed reports with 3D visualizations via a secure web platform.

Key Features

AI-Powered MRI Analysis: Processes standard MRI scans using proprietary AI.
Individual Muscle Quantification: Measures size, quality, fat infiltration, and symmetry for over 100 muscles.
Musculoskeletal Metrics Analysis: Quantifies tendons, bone, and scar tissue alongside muscle data.
3D Muscle Visualization: Creates interactive 3D models of musculature.
Detailed Reporting: Delivers comprehensive reports via an interactive web-based viewer.
Standardized Scan Protocols: Supports lower extremity, core, and full-body MRI scans.

Use Cases

Accelerating research and development in life sciences with standardized muscle data.
Supporting athlete recovery strategies, workload management, and peak performance optimization.
Tracking healthspan and detecting early muscle decline for personalized, proactive care.
Providing objective muscle insights for clinical trials.
Creating personalized 3D musculoskeletal digital twins for health and performance analysis.