Artificial Intelligence in Medicine – The Future is Now
Artificial Intelligence is already influencing a physician’s diagnostic expertise and decision making by generating “actionable intelligence” in patient-specific therapeutic choices. This workshop will highlight recent successes developed through partnerships with clinicians, engineers, statisticians, bioinformaticians, life scientists and biologists using algorithmic and systems innovation.
Thursday, July 19, 2018
Mayo Civic Center
30 Civic Center Drive SE, Room 112/113
Rochester MN 55904
9:30 a.m. – 4:00 p.m.
Success in precision medicine is enhanced when a clinician’s diagnostic and treatment expertise are augmented by patient-specific “actionable intelligence” inferred using a wide-variety of patient-specific clinical and omics data. Machine learning/artificial intelligence techniques can greatly facilitate the joint analyses of these heterogeneous and complex data to extract actionable intelligence, knowledge of high-confidence that can help inform a clinician with regard to patient-specific therapeutic choices. Working together, the University of Illinois and Mayo Clinic have already demonstrated significant success in bringing artificial intelligence to clinical care in several domains. The broader objective of this partnership is to develop tools and methods of high translational impact that can be brought to bedside. Examples of the collaborative success of this partnership include the identification of novel mechanisms of drug action in triple-negative breast cancer therapeutics; the development of predictive algorithms that utilize quantitative omics and clinical psychiatry data to predict treatment outcomes and guide antidepressant therapy decisions for patients with major depressive disorder; the use of artificial intelligence methods to precisely inform neurologists and neurosurgeons with regard to regions of the brain from which seizures origination.
Through success stories of collaboration between clinicians and biomedical scientists at Mayo Clinic and engineering experts at UIUC, this workshop will 1) address challenges in the development of standardized medical data to create large and well-curated datasets; 2) discuss analytical techniques for healthcare to expand data-driven and machine learning techniques to curate and harmonize large datasets, and 3) discuss challenges in the development of significant computation and storage resources to accommodate these huge datasets.
Registration for the Workshop is now closed. Please contact Kathy Atchley (firstname.lastname@example.org) or Leila Jones (email@example.com) for additional information.
Hilton Garden Inn Rochester Downtown; Phone: 507-285-1234
Group Code: ART; Rate: $179.00/night (block will be held until June 27th)
Keynote Presentation – Dr. Andrew Limper, Associate Dean, Center for the Science of Health Care Delivery
- Real world success stories of AI in medicine (radiology, psychiatrics, neurology, oncology, cardiology)
- Interactive Panel Sessions – Challenges and Opportunities for Artificial Intelligence in Medicine
- Clinicians Panel
- Industry Panel
- Where do we go from here – Meeting Summary and Discussion Session
Ravi Iyer, UIUC; Richard Weinshilboum, Mayo; Liewei Wang, Mayo; Kostantinos Lazaridis, Mayo; Eric Klee, Mayo; Kiaran McGee, Mayo
Center for Computational Biotechnology and Genomic Medicine (CCBGM)
University of Illinois Urbana-Champaign
Mayo Clinic – Center for Individualized Medicine
Center for Artificial Intelligence Driven Health Data Systems and Analytics (UIUC)
For additional information contact Leila Jones (firstname.lastname@example.org) or Kathy Atchley (email@example.com)