FFMI at the University of Michigan acts as an innovation navigator for U-M biomedical researchers and their potential external collaborators in diagnostics, therapeutics, devices, and healthcare IT.

device for rapid anesthesia during eye injections

#devices

adjustable gastric feeding tube for children

#devices

U-M Translational Research and Commercialization for Life Sciences (MTRAC) provides mid-stage research funding and resources to nurture biomedical projects with a high potential of commercial success.

new medication targets deadly viruses

#therapeutics

handheld device for rapid measurement of immune response in pediatric cancer patients

#devices

MTRAC is supported by the Michigan Economic Development Corporation and the William Davidson Foundation.

Seasoned leaders in industry and entrepreneurship, MTRAC’s Oversight Committee members select the biomedical innovation projects funded and act as mentors to research teams as their projects progress.

providing patients with effective disease management

#diagnostics

cardiotoxicity screen benefits drug development process

#diagnostics

automated analysis of retinal imaging helps patients suffering from eye diseases

#healthcareIT

improving patient safety during sedation or altered levels of consciousness

#devices

helping critical care patients with effective, non-invasive blood volume analysis

#diagnostics

innovative screening technique for early colon cancer detection

#diagnostics

U-M MTRAC for Life Sciences Overview Video

targeted drug helps patients with adrenal gland malignancies

#therapeutic

acoustic-based smartphone app predicts bipolar mood swings

#healthcareIT

computational diagnostic for inflammatory bowel disease will help patients use long-term thiopurine therapy without adverse side effects

#diagnostics

targeted therapeutic that helps patients who have limited or no cancer treatment options because of their EGFR-TKI resistant tumors

#therapeutic

University of Michigan startup offers innovative software program that helps cancer patients by quickly interpreting genetic information to improve cancer diagnosis and treatment

#healthcare it