Our research endeavors are dedicated to pioneering the development of virtual reality simulators tailored for surgical training, harnessing the power of cutting-edge technologies such as artificial intelligence, automated systems, and advanced deep learning algorithms. Central to our work is the creation of AI-driven solutions for automated surgical video segmentation, precise identification of anatomical structures, surgical tool recognition, and comprehensive skills assessment.

I am interested in developing computational models and algorithms for big data to predict patients' outcomes, which can help clinicians to tailor treatment plans for individual patients.

We aim to globally understand how the physical and chemical properties of materials affect interactions with biological systems in the context of improving therapies.

We develop the theory and application of deep learning to improve diagnoses, prognoses and therapy decision making.

Translational Research in UltraSound Theranostics (TRUST) Lab at UT Southwestern

The overarching goal of Wen-hong Li Lab is to investigate mechanisms responsible for maintaining islet cell function and to devise new strategies for enhancing beta cell fitness and robustness to prevent or treat diabetes.

Petroll Lab applies engineering approaches and design principles to the investigation of fundamental clinical and biological problems in ophthalmology, while providing training to graduate students, medical students, and post-docs. 

The research interests of the Lux Lab lie in the development of novel nanomedicine platforms to diagnose and treat disease in vivo noninvasively.

Check out the latest research efforts of de Gracia Lux's Lab!

The Bowen Lab focuses on the development of hybrid positron emission tomography (PET) (e.g. PET-CT and PET-MR) tools to enable precision imaging for the care and study of oncology, neurology, and cardiology patients.