Brandon Gaston, MD
I'm a vascular surgery resident who designs medical devices and builds clinical software.
About
I divide my time between the operating room, the device lab, and the codebase.
I'm an integrated vascular surgery resident at Massachusetts General Hospital and Harvard Medical School. Before medicine, I worked in a medical-device design lab at UCSF — computer-aided design, 3D printing, tissue engineering, and large- and small-animal studies — and helped move early-stage technologies toward the clinic.
Today I split my attention between caring for patients, testing the IsletStent, and writing software that gives clinicians and patients back their time and their data.
Medical Device Engineering
IsletStent In testing
An implantable device currently in preclinical testing. (Add a one- or two-line description of the device and its clinical purpose here.)
Remote Vascular Graft Monitor
An implantable device for remote monitoring of vascular-graft patency that detects impending graft failure before ischemia develops. Developed under the MGH & Harvard Wellman Center Magic Wand Innovation Award.
Magnamosis
A suture-free bowel anastomosis device that uses magnetic compression to join tissue. I designed safety features including a piezoresistive force-sensing system that maps magnet alignment to prevent uncoupling and tissue entrapment.
Endochondral Bone Graft
A bone graft made from decellularized hypertrophic cartilage that heals through endochondral (cartilage-to-bone) ossification. I developed the decellularization and fibrin-encapsulation protocols to meet FDA Section 361 criteria. Patent filed (US & WIPO).
3D-Printed Adipose Autograft
Clinical advisor at the Harvard Wyss Institute (Nucleate Accelerator) for a 3D-printed adipose autograft, where I developed the clinical use case and commercialization strategy.
Software Development
Veritas OneFounder
A patient-owned health-records platform. It consolidates records from every provider into a single timeline, and shares licensing revenue with patients when their de-identified data is used for research. HIPAA-compliant; in private beta.
Frailty AutomatorOpen source
Calculates frailty scores from clinical data for preoperative risk stratification. Built alongside my research comparing frailty scores in lower-extremity revascularization.
Case Logger AutomatorResident tooling
Converts OR schedules into ACGME-compliant operative case logs, removing the manual data entry from resident case logging.
Grants & Awards
Selected Publications
Most Cited
Most Recent
Get in touch
Open to collaboration on clinical software, medical devices, and health-data infrastructure.
Emailbgaston@mgh.harvard.edu