Artificial Intelligence

Clinicians routinely acquire data from numerous sources for disease characterization, including imaging, pathology, genomics and electrophysiology. While “big data” potentially harbors cues on disease behavior and patient outcome, the paucity of analytic and biomedical informatics tools to harness and unlock quantitative, disease-related insight from vast sets of biomedical data results in these cohorts remaining under-exploited and uninterrogated. There is a critical need to quantify information and determine relationships across multiple scales, modalities and functionalities – from gene and protein expression to spectroscopy, digital pathology and radiographic imaging.

The areas of artificial intelligence (A.I.) and health informatics are a burgeoning strategic focus within the Department of Biomedical Engineering. Faculty and students are developing and applying a variety of analytic tools to imaging, digital pathology, genomics, proteomics and electrophysiological data to help physicians solve key clinical and translational problems. This includes developing, evaluating and applying novel quantitative image analysis, computer vision, signal processing, segmentation, multi-modal co-registration tools, pattern recognition and machine learning tools for disease diagnosis, prognosis and theragnosis in the context of oncological and non-oncological conditions. 

The cross-cutting, interdisciplinary field of A.I. and health informatics identifies, explores and implements effective uses of data and information. Key innovations here include designing unique A.I. tools that can capture biologically relevant and clinically intuitive measurements via radiomics, pathomics and radiogenomics, as well as other multimodal data analytic techniques. This allows us to gain value and knowledge from routinely acquired clinical big data, including deeper insights into disease processes and mechanisms, and thus empower clinicians and patients in decision-making and pave the way toward precision medicine.

Affiliated Labs and Centers

Faculty

  • Abidemi Bolu Ajiboye

    Abidemi Bolu Ajiboye, PhD

    Assistant Professor
    Department of Biomedical Engineering
    Case School of Engineering, School of Medicine

    Email: abidemi.ajiboye@case.edu

    Phone: 216.368.6814

  • Rui Cao

    Rui Cao, PhD

    Assistant Professor
    Department of Biomedical Engineering
    Case School of Engineering, School of Medicine

    Email: ruicao@case.edu

  • Colin Drummond

    Colin Drummond, PhD, MBA

    Professor
    Department of Biomedical Engineering
    Case School of Engineering, School of Medicine
    Assistant Chair
    Department of Biomedical Engineering
    Case School of Engineering, School of Medicine

    Email: colin.drummond@case.edu

    Phone: 216.368.6970

  • Ammar Hoori

    Ammar Hoori, PhD

    Research Assistant Professor
    Department of Biomedical Engineering
    Case School of Engineering

    Email: ammar.hoori@case.edu

    Phone: 804.551.7315

  • Peter Hovmand

    Peter S. Hovmand, PhD, MSW

    Interim Director
    Center for Community Health Integration
    Pamela B. Davis MD PhD Professor of Medicine
    Center for Community Health Integration
    School of Medicine
    Professor of General Medical Sciences
    School of Medicine
    Professor of Biomedical Engineering
    Case School of Engineering
    Secondary Faculty
    Jack, Joseph and Morton Mandel School of Applied Social Sciences
    Secondary Faculty
    Population and Quantitative Health Sciences
    School of Medicine
    Member
    Population and Cancer Prevention Program
    Case Comprehensive Cancer Center
    Secondary Faculty
    Jack, Joseph and Morton Mandel School of Applied Social Sciences

    Email: peter.hovmand@case.edu

    Phone: 216.368.5437

  • Maryse Lapierre-Landry

    Maryse Lapierre-Landry, PhD

    Research Assistant Professor
    Department of Biomedical Engineering
    Case School of Engineering

    Email: maryse.lapierre-landry@case.edu

  • Shuo Li headshot

    Shuo Li, PhD

    Professor
    Biomedical Engineering
    Case School of Engineering, School of Medicine
    Professor
    Computer Data Science
    Case School of Engineering
    Member
    Cancer Imaging Program
    Case Comprehensive Cancer Center

    Email: shuo.li11@case.edu

  • Christopher Pulliam

    Christopher Pulliam, PhD

    Assistant Professor
    Department of Biomedical Engineering
    Case School of Engineering, School of Medicine

    Email: christopher.pulliam@case.edu

    Phone: 216.368.3138

  • Gerald Saidel

    Gerald Saidel, PhD

    Professor Emeritus
    Department of Biomedical Engineering
    Case School of Engineering, School of Medicine
    Director
    Center for Modeling Integrated Metabolic Systems

    Email: gerald.saidel@case.edu

    Phone: 216.368.4066

  • Satish Viswanath

    Satish E. Viswanath, PhD

    Associate Professor
    Department of Biomedical Engineering
    Case School of Engineering, School of Medicine
    Associate Professor
    Department of Radiology
    School of Medicine
    Associate Professor
    Department of Electrical, Computer, and Systems Engineering
    Case School of Engineering
    Member
    Cancer Imaging Program
    Case Comprehensive Cancer Center
    Co-Leader
    CCCC Machine Learning Working Group
    Co-Director
    Center for AI Enabling Discovery in Disease Biology (AID2B)
    School of Medicine

    Email: satish.viswanath@case.edu

    Phone: 216.368.3888

  • Image of headshot of David Wilson

    David L. Wilson, PhD

    Robert J. Herbold Professor of Biomedical Engineering
    Department of Biomedical Engineering
    Case School of Engineering, School of Medicine
    Professor
    Department of Radiology
    School of Medicine
    Member
    Cancer Imaging Program
    Case Comprehensive Cancer Center

    Email: david.wilson@case.edu

    Phone: 216.368.4099