Pediatrics
Showing 491-500 of 868 Results
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Crystal Mackall
Ernest and Amelia Gallo Family Professor and Professor of Pediatrics and of Medicine
Current Research and Scholarly InterestsRecent clinical studies, by us and others, have demonstrated that genetically engineered T cells can eradicate cancers resistant to all other therapies. We are identifying new targets for these therapeutics, exploring pathways of resistance to current cell therapies and creating next generation platforms to overcome therapeutic resistance. We have discovered novel insights into the biology of human T cell exhaustion and developed approaches to prevent and reverse this phenomenon.
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David Magnus, Ph.D.
Thomas A. Raffin Professor of Medicine and Biomedical Ethics and Professor (Teaching) of Medicine (Primary Care and Population Health)
Current Research and Scholarly InterestsGenetic testing, gene therapy, genetically engineered organisms, and the history of eugenics. Stem cell research and cloning, and egg procurement. Examining ethical issues in reproductive technologies. Organ transplantation including donation after cardiac death, ethics of listing decisions. End of life issues in both adults and children.
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Yvonne Maldonado
Vice Provost for Faculty Advancement, Taube Professor of Global Health and Infectious Diseases, Professor of Pediatrics (Infectious Diseases) and of Epidemiology and Population Health
Current Research and Scholarly InterestsMy research focuses on epidemiologic aspects of viral vaccines and perinatal HIV infection. This includes the molecular epidemiology of factors affecting the immunogenicity of oral polio vaccine (OPV) in developing areas of the world, and now the epidemiology of transmission and circulation of vaccine derived polioviruses in order to assist in global eradication of polio. I also work in development of methods to prevent breastfeeding transmission of HIV in Africa.
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Ivana Maric
Assistant Professor (Research) of Pediatrics (Neonatology)
BioIvana Maric is an Assistant Professor in the Pediatrics Department at the Stanford University School of Medicine. Her research focuses on applying machine learning to improving maternal and neonatal health. Her main focus has been on developing machine learning models for early prediction of adverse outcomes of pregnancy from omics and electronic health records data, that could guide development of low-cost, point of care diagnostic tools. Her main interest is in solutions that are applicable worldwide and especially in low-resource settings. Previously, her research focused on information theory, a mathematical discipline tightly related to statistics and machine learning. She is a recipient of the 2021 Rosenkranz Prize awarded for innovative work to improve health in low- or middle-income countries. She is also a recipient of the 2026 WSPR Best Global Health Abstract Award, 2025 McCormick Faculty Award, the 2025 Reckitt/Mead Johnson Junior Faculty Award from the Western Society for Pediatric Research (WSPR), and the co-recipient of the 2013 IEEE Communications Society Best Tutorial Paper Award. She received BS degree from the University of Novi Sad, Serbia, MS and PhD at Rutgers University and postdoctoral training at Stanford University.
