Plate Nº 91 · recorded November 4, 2026
Health & Medicine ResearchReported finding
MIT to Build Body-Powered Patch That Catches Sepsis and Heart Failure Early
ARPA-H will pay up to $38 million for PYTHIA, an MIT-led wearable patch powered by body heat that reads heart disease and sepsis biomarkers under the skin in real time.
By Priya Raman4 min read817 words
In brief
- ARPA-H is funding the MIT-led PYTHIA project with up to $38 million over four years.
- The wearable patch will monitor heart disease and sepsis biomarkers continuously and run on the patient's body heat.
- Sepsis kills at least 350,000 U.S. adults annually; heart disease is the top U.S. cause of death.
- The patch measures biomarkers in interstitial fluid, using a binding chemical reaction plus on-chip AI to interpret the data.
- The project emerged from MIT's Health Sciences and Semiconductors program and prior work on continuous glucose monitors.
A four-year project worth up to $38 million will try to turn a small skin patch into an early-warning system for two of medicine's most lethal conditions. The U.S. Advanced Research Projects Agency for Health (ARPA-H) is funding the effort, led by MIT, to build a noninvasive wearable that continuously monitors biomarkers of heart disease and sepsis — molecular signals in body fluid that appear when those diseases begin.
The project is called PYTHIA, short for "predictive platform for physiological and therapeutic health intervention and adaptive management." According to the project plan, the patch will capture clinical-grade health information in real time and will draw its power from the patient's own body heat. That information could help clinicians diagnose heart failure and sepsis early, before the diseases cause irreversible damage.
The researchers also believe the device could track a patient's recovery after hospital discharge and help clinicians develop more effective therapeutic approaches.
Why heart disease and sepsis?
The stakes are stark. Heart disease is the number one cause of death in the United States, while sepsis — the body's extreme, life-threatening response to infection — kills at least 350,000 U.S. adults each year and is the leading cause of death in hospitals, according to the Centers for Disease Control and Prevention.
"We targeted these diseases because they are very lethal, but we also see opportunities for detecting biomarkers related to heart disease and sepsis to offer a solution that could really help improve diagnosis and treatment," says principal investigator Ahmad Bahai, a professor of the practice in MIT's Department of Electrical Engineering and Computer Science (EECS) and a member of the Research Laboratory of Electronics.
Bahai will be joined by MIT researchers Joel Voldman, the William R. Brody Professor of EECS; Tim Swager, the John D. MacArthur Professor of Chemistry; Hadley Sikes, the Willard Henry Dow Professor in Chemical Engineering; and Colin Stultz, the Nina T. and Robert H. Rubin Professor of EECS, along with additional clinical and industry collaborators.
"We have created an ecosystem of R&D, with MIT at the center of it, to facilitate not only leading-edge research, but also a path toward translation into a device that can be used in the clinic," Bahai says. "Our goal with this project is to impact the future of personalized health care."
How will the patch work?
PYTHIA grew out of the MIT Program for Health Sciences and Semiconductors (HS+S), which Bahai co-founded when he joined MIT three years ago. The program applies semiconductor and nanotechnology advances to diagnostics, therapeutics, and drug discovery.
The idea traces back to Bahai's earlier successful work on continuous glucose monitors, and to his "Waves, Bites, and Molecules" lab, which studies electrochemical devices, optics, magnetics, and ultrasonics. That glucose-monitor experience led the team to ask which other biomarkers semiconductor technology could track in real time.
The answer, for now, lies in interstitial fluid — the fluid under the skin. The patch will monitor heart failure and sepsis biomarkers there. These molecules, related to the onset of the diseases and normally found in blood plasma, are difficult to detect because they exist in very low concentrations.
The system will work in two steps:
- A chemical reaction binds specific chemicals to the biomarker molecules in the interstitial fluid, making them easier to identify.
- Advanced microelectronics in the patch measure the bound molecules with enough sensitivity for clinical applications.
Because the device will measure continuously and amass enormous volumes of data, PYTHIA will incorporate on-chip AI models to translate raw readings into information clinicians can use.
"This is kind of like having the patient give a blood test every 15 minutes or so, but it happens automatically. That is the power of this technology," Bahai says.
What happens next?
The team will begin developing and testing electronic components for the tiny, low-power chip. From there, they plan to advance the wearable through pre-clinical and clinical trials until it can be commercially scaled and manufactured, Bahai says.
"This project has real potential to improve health care because, in addition to leveraging MIT's leading-edge science and technology, we are also teaming up with clinical and industrial collaborators with direct experience of the practical constraints, the regulatory environment, and the clinical need," he says. "The impact of this research could be huge."
PYTHIA is funded through the ARPA-H Delphi Program, led by Program Manager Leonard Tender, in which research teams apply a microelectronics design strategy to biosensing to build devices that safely, securely, and continuously monitor the body's internal health signals. The project is supported by ARPA-H under agreement number AY2AX000243; the agency's official views are not necessarily represented by the announcement.
If the patch succeeds, it will offer what medicine has long lacked: a continuous read on killers that announce themselves too late.
via arpa-h.gov (Original)
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Senior reporter covering people, launches and day-to-day practice in general science news at SciBeat.
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