UMBC Professor Kiani applies machine learning and AI to create a CyberGut to treat stomach disorders

Tue, 10 Feb 2026 09:47:54 -0500
ai, cybergut, machine-learning, medical, neural-network, nih, research

UMBC CSEE professor Mehdi Kiani and his colleagues and students are developing personalized and precise treatments to improve patients' quality of life using AI, wearable tech, and other innovations. They recently teamed up with colleagues at New York Institute of Technology and Pennsylvania State University to develop a system that combines state-of-the-art, millimeter-sized medical implants, computational models, and machine learning to better monitor and treat stomach disorders.

The NIH-funded "CyberGut" project will use physics-informed neural networks that combine data-driven learning with fundamental physical laws. "When enhanced with human-like learning strategies, such as self-learning and adaptive optimization, these networks can evolve into significantly more powerful analytical tools," Penn State collaborator Farnaz Tehranchi says.
Read more about Professor Kiani and his research here.