The John Barnard lab studies pathology and etiology of diseases including atrial fibrillation, pulmonary vascular disease, coronary artery disease and more.
The Gerald Beck lab helps lead data coordinating centers for multi-center clinical trials and observational studies, mostly in kidney and pulmonary disease.
The Valerie Chepp Lab focuses on qualitative research methods and the influence of sociomedical forces on healthcare delivery and health outcomes.
The Dalton lab models complex systems to understand how social, behavioral and environmental factors affect health.
The Jennifer Gassman lab focuses on research study design, particularly in hypertension, chronic kidney disease and hemodialysis.
The Olivia Hogue lab studies translational science and the factors involved in the success of new interventions.
The Bo Hu lab develops statistical and machine learning methods for precision medicine, including clinical trial design.
The Ming Hu lab develops statistical methods and computation tools for genetic and epigenetic studies.
The Peter Imrey lab focuses on collaborative health research and medical education, leading in study design and data analysis on a variety of projects.
The Michael Kattan lab develops, validates and uses prediction models for medical decision making.
The Brittany Lapin lab studies how to optimize the clinical utility of patient-reported outcome measurements.
The Xuefeng (Chris) Liu lab studies how to best integrate multiple data sources for research in many diseases.
The Edward Mascha lab studies focuses on perioperative medicine research through clinical research design and analysis.
The Steven Masiano lab studies healthcare outcomes and barriers to access using implementation research.
The Amy Nowacki lab is focused on statistical concepts, particularly related to health professions education.
The Nancy Obuchowski lab helps radiologists develop and test new ways to image patients.
The Sujata Patil lab develops and uses statistical methods and designs to understand the science and biology of cancer.
The Tomas Radivoyevitch lab develops mathematical models that can help improve control of myeloid cancers.
The Jeevanantham Rajeswaran lab develops models to forecast cardiac procedure outcomes, including reinterventions and survival.
The Daniel Rotroff lab uses -omics technologies and electronic health records to study aspects of precision medicine.
The Omar Sims lab researches how to improve the health of people living with chronic liver disease caused by hepatitis C virus and other etiologies.
The Larisa Tereshchenko lab focuses on cardiac arrhythmias and developing cutting-edge tools to advance its prediction, prevention and treatment.
The Belinda Udeh lab researches the efficiency and effectiveness of healthcare utilization, also known as health economic evaluation.
The Xiaofeng Wang lab evaluates and develops statistical methods for biomedical and health research.
The Emily Zabor lab studies statistical methods for oncology studies, including clinical trial design, retrospective data analyses, and survival analyses.