Big Data Analytics and Health Informatics | Case School of Engineering

Institutes, centers and labs related to Big Data Analytics and Health Informatics

Brain Image Computing Lab

Develops computational neuro-informatics methods to analyze imaging for characterizing physiological, molecular and pathological phenotypes to predict patient outcome and evaluate response to treatment.

Center for Computational Imaging and Personalized Diagnostics

Develops and applies computer-based recognition tools and image analysis for identifying tumors, epilepsy and carotid plaque.

INVent Lab

Develops novel medical image analytics and machine learning tools for disease diagnosis, intervention and treatment evaluation

Case-Coulter Translational Research Partnership (CCTRP)

Fosters collaborations among clinicians and engineers on translational research projects with the potential to impact patient care.

Faculty who conduct research in Big Data Analytics and Health Informatics

Colin Drummond

Assistant Department Chair, Biomedical Engineering

Director, Master of Engineering and Management

Professor, Biomedical Engineering

Fosters the application of informatics to improve clinical decision-making for patient care

Anant Madabhushi

F. Alex Nason Professor II

Professor, Biomedical Engineering

Director, Center for Computational Imaging and Personalized Diagnostics

Develops and translates computational imaging, AI and machine learning approaches for precision-medicine diagnosis, prognosis, treatment response and prediction

Cameron McIntyre

School of Medicine campus

Professor, Biomedical Engineering

Engineers the next generation of neuromodulation technology

Pallavi Tiwari

Assistant Professor, Biomedical Engineering

Develops neuroinformatics techniques for applications in brain tumors and neurological disorders