An AI-Enabled Soft Robotic Implant Monitors Scar Tissue

University of Galway, Ireland, and Massachusetts Institute of Technology, Cambridge,MA

Research teams at University of Galway and MIT have detailed a new breakthrough in medical device technology that could lead to intelligent, long-lasting, tailored treatment for patients thanks to soft robotics and artificial intelligence.

The transatlantic partnership has created a smart implantable device that can administer a drug — while also sensing when the body is beginning to reject it — and use AI to change its shape of the device to maintain drug dosage, simultaneously bypassing scar tissue build up and maintaining treatment.

Implantable medical device technologies offer promise to unlock advanced therapeutic interventions in healthcare, such as insulin release to treat diabetes, but a major issue holding back such devices is the patient’s reaction to a foreign body.

Dr. Rachel Beatty, University of Galway, and co-lead author on the study, explained, “The technology which we have developed, by using soft robotics, advances the potential of implantable devices to be in a patient’s body for extended periods, providing long-lasting therapeutic action. Imagine a therapeutic implant that can also sense its environment and respond as needed using AI — this approach could generate revolutionary changes in implantable drug delivery for a range of chronic diseases.”

The University of Galway-MIT research team originally developed first-generation flexible devices, known as soft robotic implants, to improve drug delivery and reduce fibrosis. Despite that success, the team regard the technology as one-size-fits-all as it did not account for how individual patients react and respond differently, or for the progressive nature of fibrosis, where scar tissue builds around the device, encapsulating it, impeding, and blocking its purpose, eventually forcing it to fail.

The latest research published today in Science Robotics demonstrates how they have significantly advanced the technology, using AI, making it responsive to the implant environment with the potential to be longer lasting by defending against the body’s natural urge to reject a foreign body.

The research team deployed an emerging technique to help reduce scar tissue formation known as mechanotherapy, where soft robotic implants make regular movements in the body, such as inflating and deflating. The timed, repetitive, or varied movements helps to prevent scar tissue from forming.

The key to the advanced technology in the implantable device is a conductive porous membrane that can sense when pores are blocked by scar tissue. It detects the blockages as cells and the materials the cells produce block electrical signals traveling through the membrane.

The researchers measured electrical impedance and scar tissue formation on the membrane finding a correlation. A machine learning algorithm was also developed and deployed to predict the required number and force of actuations to achieve consistent drug dosing, regardless of the level of fibrosis present. And, using computer simulations, the researchers explored the potential of the device to release drug over time with a surrounding fibrotic capsule of different thicknesses.

The research showed that changing the force and number of times the device was compelled to move or change shape allowed the device to release more drug, helping to bypass scar tissue build-up.

“If we can sense how the individual’s immune system is responding to an implanted therapeutic device and modify the dosing regime accordingly, it could have great potential in personalized, precision drug delivery, reducing off-target effects and ensuring the right amount of drug is delivered at the right time. The work presented here is a step towards that goal,” said Professor Ellen Roche, Professor of Mechanical Engineering at MIT.

The research team believe that their medical device breakthrough may pave the way for completely independent closed-loop implants that not only reduce fibrotic encapsulation, but sense it over time, and intelligently adjust their drug release activity in response.

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