Marquette and Nvidia Partner on AI Tools for Brain Disease Research
Marquette University's Department of Biomedical Sciences is working with Nvidia for six months to build AI systems that translate neuroscience discoveries into practical tools for research and clinical use. The partnership doubles the university's available computing power.
The 4-CYTE AI Foundry, a team of neuroscientists at Marquette, is integrating Nvidia's servers into the university's research infrastructure. The foundry combines academic and private-sector approaches to improve research outcomes, student training, and community service.
Two-Way Research Benefits
The work focuses on bidirectional advancement: neuroscience informs machine learning design, and machine learning tools help analyze neuroscience data. Dr. David Baker, department chair, said the technology being developed should produce deployable systems that benefit both fields.
One example: the team studies how the brain processes information with minimal energy to reduce power consumption in computing systems. Simultaneously, they use advanced models to analyze complex clinical trial data and improve treatments for brain disorders.
Addressing a Growing Health Gap
Baker pointed to a disconnect in modern neuroscience. Seventy percent of all neuroscience studies have been published in the past 26 years, and researchers have access to unprecedented resources. Yet brain disorders have worsened this century and now cause more disease burden than cancer or cardiovascular disease, according to World Health Organization metrics.
Machine learning customized for neuroscience data analysis could enable early detection platforms for brain diseases through improved biomarkers and diagnostics, Baker said.
Dr. William E. Cullinan, dean of the College of Health Sciences, said the partnership positions Marquette as a leader in neuroscience research while training students to think critically about brain disease mechanisms.
Your membership also unlocks:
