Systems Urology & AI-mediated Multi-Omics Biology Laboratory
Our laboratory investigates the molecular and physiological mechanisms of urinary tract function and dysfunction, with a particular focus on neurourology. We use computational biology methods to study how neurological diseases such as spinal cord injury and multiple sclerosis, as well as conditions like bladder outlet obstruction, bladder pain syndrome, and urinary tract infections, alter bladder biology and function.
We integrate multi-omics technologies (transcriptomics, genomics, epigenomics, proteomics, metabolomics, and metagenomics), computational biology, and machine learning with clinical samples, animal models, and advanced in vitro systems to uncover disease mechanisms and identify new biomarkers and therapeutic targets.
A key direction of our work is the development of innovative tools to measure and model bladder function, including awake urodynamic systems and biomimetic bladder models that reproduce physiological filling and voiding mechanics.
In collaboration with engineers, we are also developing ultrasound-based technologies and intelligent microrobotic systems for targeted drug delivery and therapeutic interventions in bladder diseases. Through this interdisciplinary approach, we aim to advance precision diagnostics, mechanistic understanding, and novel treatments for urological disorders.
