Taimoor Qazi, assistant professor at the Weldon School of Biomedical Engineering, recently received a $75,000 Junior Investigator grant from the Musculoskeletal Transplant Foundation (MTF Biologics) to explore a new injectable biomaterial graft for muscle generation.

Reilly Associate Professor of Biomedical Engineering in the Weldon School of Biomedical Engineering's Fang Huang's research team built a novel AI engine.

The National Institutes of Health (NIH) announced Krishna Jayant, assistant professor in the Weldon School of Biomedical Engineering, was selected for a prestigious award created to reward and encourage young researchers.

Natalia Rodriguez, assistant professor in the Purdue University Department of Public Health who holds a courtesy appointment in BME, has been selected as a 2023 National Institutes of Health Director’s New Innovator Award recipient.

A senior design team from the Weldon School of Biomedical Engineering won first place in the National Institute of Biomedical Imaging and Bioengineering’s Design by Biomedical Undergraduate Team (DEBUT) Challenge.

A novel mathematical model can bypass time-consuming and costly experimentation to accurately predict the drug release. The underlying study, “Mechanistic computational modeling of implantable, bioresorbable, drug release systems,” has been published by the journal Advanced Materials.

Biomedical engineers have strong prospects over the next decade, according to the Bureau of Labor Statistics, which projects that employment of bioengineers and biomedical engineers will grow 10% between 2021 and 2031. During that period, an average of 1,200 new jobs will be posted each year.

You may already use your smartphone for remote medical appointments. Why not use some of the onboard sensors to gather medical data? That’s the idea behind AI-driven technology developed at Purdue University that could use a smartphone camera to detect and diagnose medical conditions like anemia faster and more accurately than highly specialized medical equipment being developed for the task.