Multimodal data is combined with pristine, spatially-linked human brain tissues housed in the UI NeuroRepository enabling an expansive systems biology approach that unites clinical, imaging, and electrical brain activity with the underlying cells, genes, proteins, and molecules that contribute to disease. Combining integrated data with an artificial intelligence-based analysis contributes to a better understanding of the human brain and has led to a pipeline of new diagnostics and therapeutics to combat brain disorders.
University of Illinois at Chicago: Professor, Neurology
University of Illinois at Chicago: Senior Research Specialist, Neurology and Rehabilitation Medicine
Strategic Technology Architect
ONTOADAPTIVE: Strategic Technology Architect
Business and Workforce Development
Ravi Iyer, Brain signal processing, AI, system biology
James Patton, Brain Signal Processing
Elisabeta Marai, Brain Visualization and Imaging
Ed Barbour, Systems Biology, Analytics, AI/ML
Eugene Sadhu, Informatics Architecture
A unique integrated health informatics system designed for improved clinical intervention and research.
INTUITION combines digital data including health records, radiology, electrophysiology, with precisely-mapped human brain tissues and all downstream Information from that tissue including histology, genomics, proteomics, and metabolomics.
INTUITION uses integrated system biology with AI-driven data analytics to generate a more complete understanding of human brain disorders leading to better patient care and new treatments.
Here’s some fun news: After you die, you’re not completely dead. In a new study, scientists from the University of Illinois–Chicago reveal that some genes express more actively in the human brain after death.
How do these “zombie genes” still hang around, exactly? The answer is a combination of common sense and surprise.
To study the postmortem brain, researchers collected brain tissue samples from brain surgery patients. In Scientific Reports, they write…
Researchers have identified a unique metabolic signature associated with epileptic brain tissue that causes seizures. The chemical biomarker can be detected noninvasively using technology based on magnetic resonance imaging. It will allow physicians to precisely identify small regions of abnormal brain tissue in early-stage epilepsy patients that can’t be detected today using current technology.