The future of orthopaedics is computational

COSI is a research lab led by Professor Stefano A. Bini, MD. We use machine learning, population-scale clinical data, biomechanical simulation, and surgical robotics to change how hip and knee surgery is studied, planned, and performed.

Derived from a machine-learning segmentation of an MRI hip scan.

Surgical robots log every cut and every gap. Record networks hold the histories of tens of millions of patients. A tendon repair can be simulated before the incision is made.

The raw material for a new kind of surgery already exists. Our work turns it into evidence, tools, and technique.

Selected work

POPULATION-SCALE EVIDENCE

A medication-wide association study of hip and knee osteoarthritis across 50 drugs

Screening dozens of medications at once for their association with osteoarthritis in a federated clinical dataset.

COMPUTATIONAL BIOMECHANICS

Load-sharing mechanics of scaffold augmentation in gluteus medius repair

How a scaffold redistributes load across a tendon repair, modeled patient by patient.

ROBOTICS & INTRAOPERATIVE DATA

Native coronal deformity and gap prediction in robotic-assisted knee replacement

Why the robot underpredicts the medial gap as native deformity increases.

Get involved

Students & researchers

Take on research with real clinical impact, publish it, and work alongside talented engineers and clinicians.

How to join

Industry

Pilot technology with the surgeons who will use it and a lab that will measure whether it works.

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