Category: Faculty
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BME’s Third AMPED Cohort Prepares to Graduate
This class consisted of 31 engineers who are pursuing careers in the medical device industry.
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Carlos Aguilar, Xudong Fan Named to AIMBE College of Fellows
Election to the AIMBE College of Fellows is among the highest professional distinctions accorded to medical and biological engineers, comprised of the top two percent of engineers in these fields.
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Undergraduate Innovation in High-Throughput Screening Earns SLAS Poster Award
The award highlights the exceptional caliber of research and presentation skills exhibited by BME undergraduate student Christian Reinhardt, whose work drew considerable interest from conference attendees.
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NIH-Funded U-M BME Team Develops Adaptive Vision Assistant to Deliver Personalized Navigation Cues
This wearable device is engineered to deliver personalized navigation cues for visually impaired users, offering information through vibration, sound, or other customizable formats.
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Connie Wu receives NSF CAREER award to advance ultrasensitive tools for profiling low-abundance proteins
Dr. Wu’s CAREER research aims to accelerate biomarker discovery, strengthen the future biotechnology workforce, and improve readiness for future public health challenges.
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AI-powered “smart patient retrieval” could transform tumor board decision-making
AI figure developed by Katelyn Lu, University of Michigan
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NSF CAREER Award supports U-M BME’s Maria Coronel in developing smart biomaterials to monitor wounds in real time
Chronic wounds are a major clinical challenge affecting many patient populations, yet the underlying biology often remains unclear.
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Kevin Zhou Receives Eversight Foundation Seed Grant for Eye Imaging Research
Dr. Zhou aims to revolutionize how clinicians and scientists characterize and treat diseases of the anterior segment of the eye—critical for vision and eye health.
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Early Detector of Severe Food Allergy Reactions – Knowing When to Reach for an Epi-Pen
U-M Team Leverages Collaboration, Innovation, and Coulter Support in the Development of a New Wearable Device for Food Allergy Anaphylaxis Detection
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Researchers Develop AI Model to Target Safer, More Effective Drug Combinations for Antimicrobial Therapy
The research pioneers a custom AI model that predicts not only the efficacy of drug combinations against key pathogens, but also their risk of toxic side effects, addressing a major obstacle in advancing new therapies.