School of Medicine
Showing 231-240 of 525 Results
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Calvin Kuo
Maureen Lyles D'Ambrogio Professor
Current Research and Scholarly InterestsWe study cancer biology, intestinal stem cells (ISC), and angiogenesis. We use primary organoid cultures of diverse tissues and tumor biopsies for immunotherapy modeling, oncogene functional screening and stem cell biology. Angiogenesis projects include blood-brain barrier regulation, stroke therapeutics and anti-angiogenic cancer therapy. ISC projects apply organoid culture and ko mice to injury-inducible vs homeostatic stem cells and symmetric division mechanisms.
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WILLIAM T. KUO, MD, FSIR, FCCP, FSVM, FACR, FCIRSE
Professor of Radiology (Interventional Radiology)
Current Research and Scholarly Interests1) LASER-ASSISTED AND COMPLEX IVC FILTER RETRIEVAL
2) CATHETER-DIRECTED THERAPY FOR ACUTE PULMONARY EMBOLISM
3) INTERNATIONAL PE REGISTRY
4) IVC FILTER REGISTRY
5) ENDOVASCULAR TREATMENT OF CAVAL AND DEEP VENOUS THROMBOSIS -
Richard Lafayette
Professor of Medicine (Nephrology)
Current Research and Scholarly InterestsWe are continuing to grow a glomerulonephritis cohort study, including immunologic characterization. We have completed interventional studies of preeclampsia exploring the nitric oxide, endothelin system and effects on glomerular function and morphometry. We continue to recruit patients for treatment and observational studies of glomerular disease, including FSGS, membranous and particularly IgA nephropathy. We also are actively studying renal disease in systemic amyloidosis.
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Philip W. Lavori
Professor of Biomedical Data Science, Emeritus
Current Research and Scholarly InterestsBiostatistics, clinical trials, longitudinal studies, casual inference from observational studies, genetic tissue banking, informed consent. Trial designs for dynamic (adaptive) treatment regimes, psychiatric research, cancer.
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Laura C. Lazzeroni, Ph.D.
Professor (Research) of Psychiatry and Behavioral Sciences and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsStatistics/Data Science. I develop & apply models, methods & algorithms for complex data in medical science & biology. I am also interested in the interplay between fundamental statistical properties (e.g. variability, bias, p-values) & how scientists actually use & interpret data. My work in statistical genetics includes: the invention of Plaid bi-clustering for gene expression data; methods for twin, association, & family studies; multiple testing & estimation for high dimensional arrays.
