This research develops an AI model that combines thyroid ultrasound imaging with genetic testing to improve diagnosis of indeterminate thyroid nodules. By integrating molecular and imaging data, the model helps distinguish benign from cancerous nodules more accurately, reducing unnecessary surgeries and improving clinical decision-making for thyroid cancer patients.

This research develops nanobubble-enhanced ultrasound imaging as an accessible alternative to MRI for cancer diagnosis. Tiny gas-filled nanoparticles amplify ultrasound signals and improve image quality, particularly in prostate cancer. The technology could reduce diagnostic delays, lower costs, and provide high-quality medical imaging to more patients worldwide.

This research develops a noninvasive method for continuously measuring blood pressure using arterial resonance. Inspired by the physics of vibrating guitar strings, the device gently stimulates arteries and measures their resonance frequencies with ultrasound. The resulting continuous blood pressure waveforms could improve diagnosis of cardiovascular disease without invasive catheterization procedures.