AI-Driven Health Care Innovation
Through bold leadership, deep scientific expertise, and strategic partnerships, the University of Arizona is advancing transformative AI and ML solutions that will define the future of health care.


The AI Health Workforce of Tomorrow
As AI reshapes diagnostics, treatment, and care delivery, the health sector faces a pressing demand for professionals fluent in both medicine and machine learning. Preparing this next-generation workforce requires more than technical training—it demands ethical grounding, hands-on experience, and transdisciplinary fluency. The University of Arizona is equipping future leaders to navigate and define this evolving landscape, ensuring the health workforce remains as innovative as the technologies it deploys.

Resilient Health Systems for a Changing World
Global health threats—ranging from emerging pandemics to climate-sensitive diseases—are increasing in complexity and unpredictability. AI offers powerful tools for early detection, dynamic response, and scalable care delivery. By advancing predictive modeling, smart diagnostics, and remote health solutions, University of Arizona researchers are helping build more adaptive and resilient health systems—capable of protecting communities amid uncertainty and change.
In the News
Our Goals
- Accelerate biomedical research: Applying AI/ML in basic research and discovery, and translational, clinical, and population health studies to improve outcomes and individualize treatment.
- Advance AI-driven drug discovery: Streamline development of new therapies through AI/ML models that reduce costs and accelerate timelines.
- Expand rural access: Deploy AI-powered tools across the state to improve health care delivery and reduce long-standing care gaps.
- Train the future workforce: Embed AI fluency into health professional education to prepare tomorrow’s leaders.
- Scale adoption: Partner with Banner, federal agencies, and the private sector to accelerate real-world use and regulatory progress.
- Drive economic growth: Investments in AI and health care will create high-wage jobs, attract new partnerships, and solidify Arizona’s leadership in the bioscience and digital health sectors.
- Work with Tech Launch Arizona to bring new AI/ML health solutions to market and create new companies with high growth potential.

Meet Our Team
Our renowned faculty are driving advances that place Arizona at the center of AI-powered health innovation.

David Ebert
Serving as the strategic architect for the university's AI and data science vision, David Ebert will lead an interdisciplinary program designed to advance the university's role as a global leader in the responsible application of AI and ML. Ebert will lead the development of the university's AI and health initiative and help launch a unified Data Science Institute.

Justin Starren
Justin Starren, MD, PhD, is Director of the Center for Biomedical Informatics and Biostatistics at the University of Arizona Health Sciences, with over 30 years of experience translating informatics research into real-world health solutions. He is known for leading national projects that integrate genomic and patient-reported data into electronic health records to advance precision medicine and improve care delivery.

Dan Theodorescu
Dan Theodorescu is the Nancy C. and Craig M. Berge Director of the University of Arizona’s NCI-Designated Comprehensive Cancer Center and a professor of Urology and Cellular and Molecular Medicine. A globally recognized cancer researcher, he has led major advances in understanding bladder cancer, discovering biomarkers and drug targets, and developing precision therapies