OrthoCore Labs develops orthopedic technology through applied mathematics, computational engineering, and clinically validated translation. What we publish is peer-reviewed. What we deploy is protocol-driven and measured against outcomes that matter to patients and surgical teams.
OrthoCore Labs exists to bring the standards of formal science to orthopedic care: explicit models, documented assumptions, and results that can be reproduced, reviewed, and audited.
We integrate biomechanical modeling, surgical software, and clinical analytics into one program rather than isolated prototypes. Engineers, mathematicians, and clinicians work from shared protocols and shared evidence.
Our objective is durable patient outcomes. Function restored, risk quantified, and improvement sustained through follow-up, not only at the point of surgery.
Every system we develop begins as a mathematical or computational model and advances only when it performs under clinical conditions against pre-specified endpoints.
Workflows are version-controlled, statistically validated, and traceable from data acquisition through analysis to deployment. Uncertainty is reported, not hidden.
Surgeons and researchers should understand how a recommendation was produced, what data informed it, and where the limits of the model apply.
Our work rests on four disciplines that together cover modeling, implementation, statistical inference, and verification in regulated environments.
Each area has defined deliverables, review standards, and accountability for translation into the operating room, the clinic, and peer-reviewed literature.
Patient-specific meshing, constitutive calibration, and stress analysis for preoperative planning and implant evaluation.
Motion reconstruction from wearable sensors and imaging data to monitor recovery and validate biomechanical predictions.
Computer vision and surgical guidance models trained, tested, and monitored on multi-center clinical datasets.
Hierarchical outcome models, uncertainty quantification, and pre-registered analysis plans for trial endpoints.
A concise record of how formal methods became operational infrastructure in orthopedic research and clinical practice.