Toward personalized health monitors informed by AI, patients and doctors
Greater access to continuous data can help detect subtle health changes early.
Junyi Zhu envisions a future where everyone has a personalized health monitoring system capable of flagging issues well before a doctor’s visits ever could.
Zhu, a new faculty member in electrical and computer engineering, works at the intersection of sensing technologies, fabrication and human-computer interaction. In his Sensing, Intelligence and eXperience (SIX) Lab, he’s developing low-cost, portable devices that capture continuous biometric data for use both in clinics and everyday environments.
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“Greater access to continuous data can help detect subtle health changes early and support more targeted interventions, especially for individuals underserved by traditional measurement techniques,” Zhu said.
A major focus of Zhu’s research is building signal processing models tailored to individual health profiles, making the collected data more precise and useful for patients and care providers. With close attention to device design, he’s also innovating in personal fabrication techniques to ensure that monitors are comfortable and easy to use.
“It’s incredibly rewarding to work hand-in-hand with doctors and patients—identifying unmet needs, developing custom devices, and then witnessing how these devices can improve diagnostic accuracy or empower a patient’s recovery at home,” he said.
AI contributed to this summary of the article ‘A Q&A with new faculty member Junyi Zhu’ by Catharine June.