School of Medicine
Showing 1-10 of 54 Results
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Rosa Bacchetta
Associate Professor (Research) of Pediatrics (Stem Cell Transplantation)
Current Research and Scholarly Interests In the coming years, I plan to further determine the genetic and immunological basis of diseases with autoimmunity or immune dysregulation in children. I believe that much can still be learned from the in depth mechanistic studies of pediatric autoimmune diseases. Genomic analysis of the patients' samples has become possible which may provide a rapid indication of altered target molecules. I plan to implement robust functional studies to define the consequences of these genetic abnormalities and bridge them to the patient's clinical phenotype.
Understanding functional consequences of gene mutations in single case/family first and then validating the molecular and cellular defects in other patients with similar phenotypes, will anticipate and complement cellular and gene therapy strategies.
For further information please visit the Bacchetta Lab website:
http://med.stanford.edu/bacchettalab.html -
Laura K. Bachrach
Professor of Pediatrics (Endocrinology) at the Lucile Salter Packard Children's Hospital, Emerita
Current Research and Scholarly Interests Prevention of osteoporosis begins in childhood and adolescence by measures that maximize acquistion of bone mineral during the critical adolescent years. Body mass, calcium nutriture, physical activity, growth and sex steroid hormones, and genetic factors are all thought to be important determinants of bone mass although the relative contribution of each remains controversial.
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Imelda Balboni
Clinical Associate Professor, Pediatrics - Rheumatology
Current Research and Scholarly Interests Pediatric systemic lupus erythematosus;
Autoimmune disease;
Proteomics and autoantigen microarray technology -
Yair Bannett
Instructor, Pediatrics
Current Research and Scholarly Interests Dr. Bannett seeks to use data-driven methods to develop reliable quality measures for management of children with developmental and behavioral (DB) conditions in community-based primary care. Current observational studies use multi-level analysis of electronic health record data and clinician interviews. Dr. Bannett plans to use natural language processing to accurately assess quality of care, with the ultimate goal of improving health care delivery for children with DB conditions.
