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  • Agenda available for Computational, Data, & Digital Approaches to Advance Health

    Computational, Data, and Digital Approaches to Advance Health will highlight the expertise at Illinois in the applications to health and medicine of AI, machine learning, deep learning, computational imaging, computational genomics, big data and data analytics, and other computational/digital approaches.

  • Genomics and computer science intersect to improve patient care

    Computational genomics is a field that brings high-performance computing resources to drive precision medicine research toward new discoveries. However, when over 50 Mayo Clinic physicians, researchers and students gathered in June to participate in the Computational Genomics Course, the emphasis was on the needs of the patient.

  • Artificial Intelligence: Will a Machine Pick your Next Medication?

    The Mayo Clinic Center for Individualized Medicine is collaborating with the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign to unleash the potential of artificial intelligence in patient care. Funded by a National Science Foundation (NSF) grant, the Mayo Clinic and University of Illinois Alliance and corporate partners are conducting research into the big data challenge: how to develop computer systems that, combined with human intelligence, unlock new analysis of health and disease.

  • Promising diagnostics for detecting latent tuberculosis revealed

    A collaboration between the National Center for Supercomputing Applications (NCSA) at the University of IllinoisMayo Clinic, and the University of Michigan are introducing a new machine-learning-driven approach to latent tuberculosis infection (LTBI) diagnostics. While leveraging a high throughput detection technology and powerful bioinformatics, this approach aims to reveal multi-marker signatures for LTBI diagnosis and risk stratification.

  • Taking the guesswork out of finding the right depression therapy

    Dr. Bobo has collaborated with Mayo Clinic and University of Illinois Urbana-Champaign (Illinois) researchers to develop a model that combines genomics and clinical assessments to uncover patterns of how patients respond to antidepressants.

  • Bringing artificial intelligence to the patient’s bedside

    A machine can never replace your doctor. But artificial intelligence—the type of technology behind smart speakers and ride-hailing apps—is now being used to improve medical care.