School of Medicine
Showing 21-30 of 111 Results
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Heike Daldrup-Link
Professor of Radiology (General Radiology) and, by courtesy, of Pediatrics (Hematology/Oncology)
Current Research and Scholarly InterestsAs a physician-scientist involved in the care of pediatric patients and developing novel pediatric molecular imaging technologies, my goal is to link the fields of nanotechnology and medical imaging towards more efficient diagnoses and image-guided therapies. Our research team develops novel imaging techniques for improved cancer diagnosis, for image-guided-drug delivery and for in vivo monitoring of cell therapies in children and young adults.
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Kara Davis
Associate Professor of Pediatrics (Hematology/Oncology)
Current Research and Scholarly InterestsChildhood cancers can be considered aberrations of normal tissue development. We are interested in understanding childhood cancers through the lens of normal development. Further, individual tumors are composed of heterogeneous cell populations, not all cells being equal in their ability to respond to treatment or to repopulate a tumor. Thus, we take single cell approach to determine populations of clinical relevance.
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Pablo Domizi, Ph.D.
Instructor, Pediatrics - Hematology & Oncology
Current Research and Scholarly InterestsUnderstanding phenotypic flexibility in B-cell ALL and its impact on CAR-T therapy success. Integration of single cell RNA and protein expression data to build models to predict patients at risk of Antigen Loss relapse after CAR-T cell immunotherapies.
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Charles Gawad
Associate Professor of Pediatrics (Hematology/Oncology)
BioOur lab works at the interface of biotechnology, computational biology, cellular biology, and clinical medicine to develop and apply new tools for characterizing genetic variation across single cells within a tissue with unparalleled sensitivity and accuracy. We are focused on applying these technologies to study cancer clonal evolution while patients are undergoing treatment with the aim of identifying cancer clonotypes that are associated with resistance to specific drugs so as to better understand and predict treatment response. We are also applying these methods to understand how more virulent pathogens emerge from a population of bacteria or viruses with an emphasis on developing a deeper understanding of how antibiotic resistance develops.
