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The Research Buzz: BME’s latest discoveries

December 3, 2025

Transforming medicine, one discovery at a time. From groundbreaking medical devices to transformative new treatments, Hopkins BME researchers are engineering the future of medicine and pushing the boundaries of what’s possible. Here’s a glimpse into our latest findings and insights.

Keep up with all our research discoveries on the Research Hub page.

 

“By decoding the heart’s unique shape with AI, we’re bringing objectivity and precision to how doctors assess stroke risk in patients with atrial fibrillation.” 

— NATALIA TRAYANOVA, Murray B. Sachs Professor of Biomedical Engineering 

Analyzing Heart Shape to Predict Stroke Risk

The shape of the heart’s left atrial appendage (LAA) —a tiny pouch in the heart— is closely linked to a patient’s risk of stroke. Doctors currently lack a standard, objective way to measure and categorize the LAA shape, making it difficult to accurately predict a patient’s risk based on this vital clue. To solve this, Natalia Trayanova’s team built a new computational framework that combines elastic shape analysis with unsupervised machine learning to reliably categorize LAA morphology into robust shape clusters. By identifying specific high-risk shapes that are more likely to create blood clots, the system provides a more precise and consistent way to understand the link between LAA shape and stroke risk, paving the way for more accurate stroke prevention tools in the clinic.

Computers in Biology and Medicine | August 2025

The Future of Personalized Immunity

In a new perspective paper, Derek Cummings and collaborators explain that an individual’s immune system is determined by three things: your genes, the unique changes your immune cells make throughout your life, and how your body responds to its environment. By continuing to explore and map these three factors across diverse populations, the researchers argue that medicine can finally move past the current one-size-fits-all approach and towards truly personalized healthcare. Unlocking this knowledge will pave the way for treatments that are precisely tailored to an individual’s immune system.

Science | August 2025 

Illustration depicting the evolution of the immune system throughout a person's life span, from infancy to older age. The image shows silhouetted figures with DNA inside the infant silhouette, surrounded by nuclear and plasma membranes. These visual elements reference the historical development of immunity, highlighting the integration of viruses into the genome and the progression from single-celled to multicellular organisms.
Image Credit: © AAAS, Science | Illustration by Rioka Hayama

A New Clue for Balance Therapy

Treating Superior Canal Dehiscence Syndrome (SCDS)—an inner ear disorder that triggers constant dizziness and balance issues—has always been a challenge. But now, Kathleen Cullen and her team have conducted the first study that used wearable motion sensors to objectively measure how SCDS affects daily life. They discovered that SCDS patients unconsciously adopt a clever trick to cope: holding their heads rigidly still when navigating complex environments like walking in the dark or on stairs. The researchers suggest this reduced head motion is a protective adaptation aimed at minimizing stimulation of the affected inner ear canal. The study provides the first quantitative roadmap linking the inner ear problem to real-world movement, setting the stage for more targeted and effective balance therapy to help patients regain confidence and stability in their daily lives.

Scientific Reports | September 2025

“What’s most exciting is that wearable sensors now let us objectively capture how patients with vestibular disorders actually move in their daily lives. These insights will guide the development of smarter, more personalized rehabilitation strategies.”

— KATHLEEN CULLEN, Raj and Neera Singh Professor of Biomedical Engineering 

A photo of a modified Canon CR-DGi fundus camera, with labels that identify key parts and connections. The image shows the camera's internal components, including a special mirror and several lenses that help capture images of the eye. A diffuser camera and a Canon EOS 7D camera are also connected to the system. Color arrows illustrate how light travels through the setup. The camera is mounted on a base that allows for easy adjustments, and although it’s not shown, there is a chinrest to help keep the patient's head steady during imaging.
Photograph of a modified Canon CR-DGi fundus camera, featuring labeled components including a holed mirror, lenses, and a connected diffuser camera and Canon EOS 7D

A New Era for High-Speed Eye Disease Screening

Johns Hopkins engineers, led by Nicholas Durr, have built a state-of-the-art eye camera that makes diagnosing serious eye diseases like glaucoma easier and faster. Current eye cameras require perfect focus, which is difficult if a patient has strong prescriptions or poor vision.  This new device solves that by taking a picture of the fundus—the back interior surface of the eye, which contains the retinausing a special digital lens. The camera captures data that can be digitally refocused after the picture is taken—it can “fix” blurry images for people with severe nearsightedness or farsightedness. This new approach allows doctors to get crystal-clear images of the retina every time, greatly improving the speed and reliability of screenings for conditions like glaucoma.

Biophotonics Discovery | October 2025

 

Saving Time for Genetic Counselors

The growing demand for genetic testing often forces Genetic Counselors (GCs) to spend valuable time on administrative tasks instead of patient care. To tackle this challenge, a collaborative study led by Casey Taylor unveiled the potential of natural language processing (NLP) to precisely track time spent in counseling sessions across diverse clinical specialties, with the core goal of optimizing the time GCs can devote to patients. “This study not only sheds light on real-world evidence of time spent in genetic counseling visits, it provides a strategy for healthcare providers to understand, and ultimately improve their processes,” says co-author and genetic counselor Carolyn Applegate. By applying advanced models to a substantial, seven-year dataset of genetic counseling notes, the researchers found that the median time spent in a session was 50 minutes, with noticeable variations based on clinical specialty, time periods (pre-COVID and during the COVID pandemic), delivery modes (in-person and telehealth) and phases of counseling (pre- and post- genetic testing). Promising methods developed from this  study are being validated in the Sequence of Cardiovascular Genetic Counseling and Testing clinical trial led by Cynthia James (RESEQUENCE-GC, NCT05422573).

Journal of the American Medical Informatics Association | November 2025

“The NLP models we used to track time in genetic counseling visits and to classify the phases of counseling were highly efficient, accurate, and interpretable. These findings demonstrate potential for scalable and trustworthy implementation of the models in real-world clinical settings.”

MICHELLE NGUYEN, lead author and BME PhD student

Engineering Living Implants for the Brain 

The biggest obstacle to creating reliable, long-term brain-machine implants is the body’s rejection of the stiff, foreign material, which causes the device to fail. In a new perspective paper, Johns Hopkins researcher Xiao Yang and student Junpeng Li (MSE ’26) chart the future of neurotechnology designed to eliminate this rejection problem. Made of flexible and stretchable electronics that mimic soft brain tissue, these devices are designed to co-evolve and regenerate with the body, enabling the implant to last a long time. By combining this seamless integration with technologies like AI for real-time decoding and organoid intelligence (OI) for hybrid computing, these advanced neurotechnology devices will be far more than passive sensors. They are envisioned as active, living, and learning extensions of the nervous system, promising long-lasting and effective treatments for countless neurological conditions.

MRS Communications | October 2025

 

A diagram illustrating various aspects of bioelectronics for neural interfaces. The central circle is labeled 'Bioelectronics for Neural Interface,' surrounded by sections labeled 'Scalable Neural Probes,' 'In Vivo Flexible Bioelectronics,' '3D Bioelectronics,' 'Electronics for Brain Organoids,' 'Living Interface,' 'Living Bioelectronics,' 'Multifunctional Bioelectronics,' 'Electrical,' 'Chemical,' and 'Optical.' Each section includes relevant images or icons, such as high-density recording sites, soft materials, brain spheroids, and diagrams of neuronal connections.
Schematic illustration of the key directions in neural interface bioelectronics
Category: Research

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