Artificial intelligence—how can it be leveraged to help understand the mysteries of disease and improve people’s health?
Harnessing the potential of artificial intelligence and machine learning into our translational research efforts is one of the key interdisciplinary initiatives outlined in the School of Medicine’s strategic plan.
As part of this strategic initiative, I am delighted to announce the establishment of the Center for AI Enabling Discovery in Disease Biology (AID2B) at ǿմý School of Medicine. Spearheaded by and , this groundbreaking center will revolutionize the intersection of medical science and artificial intelligence.
in medical imaging and computer science at ǿմý synergizes ideally with in evolutionary biology, medicine and mathematical modeling—laying the foundation for this transformative multidisciplinary center. Their expertise, combined with a dedicated and diverse team, has been instrumental in exploring how artificial intelligence can enhance disease assessment and treatment strategies.
“Designing novel AI methods to quantify and interrogate key characteristics of disease across multiple scales and modalities offers new opportunities for precision medicine,” said Dr. Viswanath. “Our new center will leverage a critical mass of complementary expertise here at ǿմý to develop new AI-driven technologies that can transform clinical decision-making across populations and conditions.”
The AID2B Center represents a harmonious synergy between clinical expertise and cutting-edge technology. In concert with clinicians’ expertise, these AI technologies will empower us with a ‘superhuman’ capability to unearth hidden insights across a gamut of applications. This will include predictive and prognostic modeling of disease outcomes, AI-informed medical decision-making across patient and population interfaces, computational imaging (including radiomics/pathomics), and novel imaging technologies (such as fingerprinting and spatial transcriptomics).
These advancements will be possible through focused efforts in discovery-centric areas such as precision therapeutics, drug resistance, cell evolution and toxicities of illness and drugs, as well as physiology modeling from pathway to organelle to cell to organism.
“Modern biomedical science has become extremely siloed and data rich,” said Dr. Scott. “We are eager to help bring together different disciplines and to utilize modern AI and machine learning-based tools to synergize across them to make the next generation of discoveries to advance our understanding and treatment of human disease.”
With the establishment of this new center, we are poised to advance the frontier of medical science through the power of artificial intelligence to redefine the landscape of disease biology and pave the way for unprecedented breakthroughs in patient care.
Sincerely,
Stan Gerson, MD
Dean, ǿմý School of Medicine
Director, National Center for Regenerative Medicine