Researchers secure DARPA grant to develop smart device for healing large muscle wounds

NewsGuard 100/100 Score

A multi-institution research team led by the University of Pittsburgh secured a $22 million grant from the Defense Advanced Research Projects Agency (DARPA) to develop a device combining artificial intelligence, bioelectronics and regenerative medicine to regrow muscle tissue, especially after combat injuries.

Researchers at Carnegie Mellon University, Northwestern University, Rice University, University of Vermont, University of Wisconsin and Walter Reed National Military Medical Center also are part of this four-year initiative.

When more than 20% of a muscle is damaged, as is common for soldiers wounded in recent overseas conflicts, the tissue can't regenerate and a stiff scar forms in place of the missing muscle, which often leads to significant disability.

With these severe injuries it's been drilled into us through all of our training that functional muscle replacement is not possible. The sort of technology we're developing offers hope where there otherwise would have been no hope."

Stephen Badylak, D.V.M., Ph.D., M.D., Principal Investigator and Professor of Surgery, University of Pitt

Badylak is also the deputy director of the McGowan Institute for Regenerative Medicine.

Badylak envisions creating a device that would change the environment inside larger wounds to help them heal the way smaller wounds do naturally.

Smaller, self-healing wounds typically switch from inflammatory to anti-inflammatory conditions a couple weeks after the initial injury. Badylak imagines kicking larger wounds into anti-inflammatory mode as early as day three or four, and then again a few days later, repeating the cycle until the muscle rebuilds itself, similar to the way fetal wounds heal without forming a scar.

All of that would be accomplished by a smart device implanted inside the wound.

The device will monitor key molecular signals at each stage of healing -- from the first hours after injury to the days and weeks that follow -- and deliver specific molecules at specific times under the direction of artificial intelligence.

The first two years of the project will involve developing the device, then the next two years will involve close collaboration with surgeons at Walter Reed, who treat patients with major muscle loss, to refine the design so that it's suitable for the clinic.

Meanwhile, the researchers will be working with industry partners and the U.S. Food & Drug Administration to identify and clear regulatory hurdles that might slow down clinical translation. For instance, it's possible to test whether the components of the device are safe to use in the human body while the overall design is evolving.

"We're developing the science and the device in mostly an academic setting," Badylak said. "If that's done without consideration of regulatory and industry requirements, patients would never see it because it would remain buried in institutions with no clear path for clinical translation."

One of the companies engaging in this process is ECM Therapeutics, which Badylak spun out of Pitt in 2018 to speed up the clinical translation of several extracellular matrix technologies developed by his lab. Badylak and Pitt both have a financial stake in the company.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Does diabetes increase the risk of long COVID?