Diabetes research
A decade of work on the genetics and metabolic biology of type 2 diabetes, with peer-reviewed contributions in Science, Diabetes Care, and Diabetologia.
Physician-scientist. Evidence, drug development, and clinical AI.
I'm a physician-scientist and digital health entrepreneur. My work runs across global drug development, clinical AI and decision support, and medical-device regulation, and it starts with reading the medical evidence closely. I build clinical tools that are tested in real settings, and I explain the science and the evidence behind modern medicine.
About
Dr. Damon Tojjar is a physician-scientist (M.D., Ph.D. candidate) and digital health entrepreneur whose work spans leading institutions in Europe and the United States. He earned his M.D. at Lund University, whose medical school had the lowest acceptance rate in Sweden at the time of his admission, and achieved top-percentile results on the national medical board examinations. He trained as a Research Fellow in Systems Medicine at Stanford University School of Medicine under Professor Atul Butte, where he was an Anna Lindh Fellow. His doctoral research, based at the Lund University Diabetes Centre, focuses on the genetics of type 2 diabetes.
Bridging research and industry, he served as International Medical Manager and Principal Medical Specialist in global development at Novo Nordisk, helping lead global clinical programs for GLP-1 and insulin therapies, including Tresiba, Ryzodeg, and Xultophy. He co-developed EASY Diabetes, an AI decision-support system that earned Sweden's Medtech4Health Innovation Award, and co-founded Vi-Health, which was selected as one of 20 finalists (Top 20 Deep Tech) in the European Institute of Innovation and Technology's EIT Digital Challenge and was later acquired by Numan. He mentors early-career scientists and founders, including through the Nucleate biotech program and as a mentor with UCLA Ventures, and has served as a board member of Lund University's innovation and holding companies, LU Innovation (now LU Ventures) and LU Holding.
Expertise
A decade of work on the genetics and metabolic biology of type 2 diabetes, with peer-reviewed contributions in Science, Diabetes Care, and Diabetologia.
AI-driven decision support that fits real clinical workflows. EASY Diabetes, evaluated in the EASY-1 randomized controlled trial, is the clearest expression.
Building and validating AI for symptom triage and chronic-disease management, grounded in clinical evidence and ethical standards rather than hype.
Global development experience at Novo Nordisk plus FDA Clinical Investigator training and KTH training in Medical Device Regulations (EU MDR, IVDR, FDA, SaMD).
Selected work
An AI-based clinical decision-support system for type 2 diabetes, developed with patients, clinicians, and researchers. Its randomized controlled trial, EASY-1 (NCT03258268), compared the system against standard of care. EASY Diabetes received the Medtech4Health Innovation Award.
A digital health company offering an AI symptom checker and e-consultation tools. Vi-Health was selected as one of 20 finalists (Top 20 Deep Tech) in the European Institute of Innovation and Technology's EIT Digital Challenge and was later acquired by Numan.
Helped lead global clinical programs for GLP-1, insulin, and combination therapies, including Tresiba, Ryzodeg, and Xultophy, keeping the clinical evidence solid while the work ran across many countries.
Research and publications
In formal citations his work appears under the publication name Tojjar, D. His co-authored meta-analysis in Diabetes Care is widely cited (paper-level, 800+ citations), and his shared (co-second) author contribution to the Science study was recognized with the Magnus Blix Award.
Recognition and roles
Frequently asked
Dr. Damon Tojjar is a physician-scientist and digital health entrepreneur who works across diabetes research, clinical medicine, and AI-driven care. He holds an M.D. from Lund University and is a Ph.D. candidate in medical science.
He earned a Doctor of Medicine (M.D.) at Lund University and is a Ph.D. candidate conducting doctoral research at the Lund University Diabetes Centre. His training includes a Research Fellowship in Systems Medicine at Stanford, FDA Clinical Investigator training, and Medical Device Regulations training at KTH.
EASY Diabetes is an AI-based clinical decision-support system for type 2 diabetes that Dr. Tojjar co-developed and led as Head of Medical and Science. Its randomized controlled trial, EASY-1 (NCT03258268), compared the system against standard of care. The system received the Medtech4Health Innovation Award.
His research focuses on type 2 diabetes genetics and metabolic health, and on applying AI and clinical decision support to chronic disease management. His peer-reviewed work appears in Science, Diabetes Care, Diabetologia, and Diabetes, Obesity and Metabolism, published under the name Tojjar, D.
Contact
For research collaboration, advisory work, speaking, or mentorship inquiries, reach out directly. Messages are read personally.
You can also find Dr. Tojjar through his verified scholarly and professional profiles linked below.