Can we leverage research being conducted in engineering and medicine to create commercially viable solutions?
Discover how cutting-edge research at the intersection of engineering and medicine is paving the way for innovative, market-ready solutions. This exploration highlights collaborative breakthroughs, transformative technologies, and the pathways that turn scientific advances into products and services with real-world impact. Learn how bridging these fields is not only accelerating progress but also creating opportunities to address pressing healthcare challenges and meet commercial demands.

Faculty List
Lance Black, MD, MBID
Texas A&M University School of Engineering MedicinePao-Tai Lin, PhD
Texas A&M University College of EngineeringRaksha Raghunathan, PhD
Houston Methodist HospitalJiho Shin, PhD
Texas A&M University College of EngineeringPublications and Grants
Our interdisciplinary research merges clinical insights with cutting-edge engineering to address some of the most pressing health care challenges. We are committed to translating innovative ideas into real-world solutions that enhance patient care and shape the future of medicine.
Promoting Tech Transfer Between Space and Global Mental Health
Lance Black, MD, MBIDAstronauts on long Mars missions will face serious mental health challenges—isolation, confinement, disrupted sleep, and months of communication delays with Earth. At the same time, millions of people on Earth struggle with depression, anxiety, and limited access to mental health care. This research explores an innovative two-way exchange: how can we share mental health technologies between space and Earth to help both groups?
Monolithic Mid-Infrared Integrated Photonics Using Silicon-on-Epitaxial Barium Titanate Thin Films
Pao-Tai Lin, PhDScientists have developed a breakthrough optical technology by combining silicon with a special crystal called barium titanate (BTO). This innovation could transform both high-speed data transmission and chemical detection. Traditional silicon optical devices have major limitations: silicon can’t easily control light with electrical signals, and existing designs only work in narrow wavelength ranges. This new platform solves both problems. The BTO crystal layer enables ultra-fast optical switching, while remaining transparent across a much broader range of mid-infrared light than previous technologies.
Deep Learning Framework for Real-Time Label-Free Thyroid Cancer Detection Using Second Harmonic Generation Microscopy
Raksha Raghunathan, PhDThyroid cancer diagnosis currently relies on fine needle aspiration (FNA) biopsies, which have significant limitations: 21% false-negative rates and 30% indeterminate results that often lead to repeat biopsies, expensive molecular testing, and unnecessary surgeries. This creates substantial physical, psychological, and financial burdens for patients. Researchers have developed an AI-powered solution using second harmonic generation (SHG) microscopy—a label-free imaging technique that detects cancer by revealing changes in collagen structure around thyroid tissue.



