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
- Biomedical Imaging Laboratory (BMIL)
- CWRU Center for Imaging Research (CCIR)
- Case Neuromodulation Center
- Center for Modeling Integrated Metabolic Systems
- Center for Computational Imaging and Personalized Diagnostics
- The Center for AI Enabling Discovery in Disease Biology (AID2B)
- Invent Lab
Faculty
Abidemi Bolu Ajiboye, PhD
Assistant ProfessorDepartment of Biomedical EngineeringCase School of Engineering, School of MedicineEmail: abidemi.ajiboye@case.edu
Phone: 216.368.6814
Rui Cao, PhD
Assistant ProfessorDepartment of Biomedical EngineeringCase School of Engineering, School of MedicineEmail: ruicao@case.edu
Colin Drummond, PhD, MBA
ProfessorDepartment of Biomedical EngineeringCase School of Engineering, School of MedicineAssistant ChairDepartment of Biomedical EngineeringCase School of Engineering, School of MedicineEmail: colin.drummond@case.edu
Phone: 216.368.6970
Ammar Hoori, PhD
Research Assistant ProfessorDepartment of Biomedical EngineeringCase School of EngineeringEmail: ammar.hoori@case.edu
Phone: 804.551.7315
Peter S. Hovmand, PhD, MSW
Interim DirectorCenter for Community Health IntegrationPamela B. Davis MD PhD Professor of MedicineCenter for Community Health IntegrationSchool of MedicineProfessor of General Medical SciencesSchool of MedicineProfessor of Biomedical EngineeringCase School of EngineeringSecondary FacultyJack, Joseph and Morton Mandel School of Applied Social SciencesSecondary FacultyPopulation and Quantitative Health SciencesSchool of MedicineMemberPopulation and Cancer Prevention ProgramCase Comprehensive Cancer CenterSecondary FacultyJack, Joseph and Morton Mandel School of Applied Social SciencesEmail: peter.hovmand@case.edu
Phone: 216.368.5437
Maryse Lapierre-Landry, PhD
Research Assistant ProfessorDepartment of Biomedical EngineeringCase School of EngineeringShuo Li, PhD
ProfessorBiomedical EngineeringCase School of Engineering, School of MedicineProfessorComputer Data ScienceCase School of EngineeringMemberCancer Imaging ProgramCase Comprehensive Cancer CenterEmail: shuo.li11@case.edu
Christopher Pulliam, PhD
Assistant ProfessorDepartment of Biomedical EngineeringCase School of Engineering, School of MedicineEmail: christopher.pulliam@case.edu
Phone: 216.368.3138
Gerald Saidel, PhD
Professor EmeritusDepartment of Biomedical EngineeringCase School of Engineering, School of MedicineDirectorCenter for Modeling Integrated Metabolic SystemsEmail: gerald.saidel@case.edu
Phone: 216.368.4066
Satish E. Viswanath, PhD
Associate ProfessorDepartment of Biomedical EngineeringCase School of Engineering, School of MedicineAssociate ProfessorDepartment of RadiologySchool of MedicineAssociate ProfessorDepartment of Electrical, Computer, and Systems EngineeringCase School of EngineeringMemberCancer Imaging ProgramCase Comprehensive Cancer CenterCo-LeaderCCCC Machine Learning Working GroupCo-DirectorCenter for AI Enabling Discovery in Disease Biology (AID2B)School of MedicineEmail: satish.viswanath@case.edu
Phone: 216.368.3888
David L. Wilson, PhD
Robert J. Herbold Professor of Biomedical EngineeringDepartment of Biomedical EngineeringCase School of Engineering, School of MedicineProfessorDepartment of RadiologySchool of MedicineMemberCancer Imaging ProgramCase Comprehensive Cancer CenterEmail: david.wilson@case.edu
Phone: 216.368.4099