RWJMS Pediatric Grand Rounds-Andrew Dauber, MD MMSc, Chief of Endocrinology, Children’s National Hospital, Director, Center for Precision Medicine and Genomic Research, Children’s National Research Institute. Join on Zoom
Child Health Institute Science Seminar-JOURNEYS IN SCIENCE, M. CHIARA MANZINI, PhD / MANUEL JIMENEZ, MD. CHI Room 3101.
Rutgers Core Facility Directors Monthly Lecture Series-More information coming soon! Hybrid. Register
Rutgers Risk Assessment Bootcamp-Risk analysis, systematic review, weight of evidence, hazard identification, susceptible populations, exposure pathways, point-of-departure, reference values, and more. View Flyer
Rutgers Risk Assessment Bootcamp-Risk analysis, systematic review, weight of evidence, hazard identification, susceptible populations, exposure pathways, point-of-departure, reference values, and more. View Flyer
RWJMS Pediatric Grand Rounds-Milen Velinov, MD, PhD, Professor of Pediatrics, Director, Division of Genetics, Department of Pediatrics, Robert Wood Johnson Medical School. Clinical Academic Building, 125 Paterson Street, Room 3403-04 or Join on Zoom
NJ ACTS Special Populations Seminar-Reynold Panettieri, MD, More information to follow!
RWJMS Pediatric Grand Rounds-Morgan Firestein, Ph.D., Assistant Professor of Pediatrics, Division of Population Health, Quality and Implementation Sciences (PopQuIS), Child Health Institute of NJ. Clinical Academic Building, 125 Paterson Street, Room 3403-04 or Join on Zoom
NCATS Real-World Evidence Innovation Challenge Registration-Using the National Clinical Cohort Collaborative as a secure, national-scale evaluation environment, the Challenge will assess predictive models, causal inference approaches, phenotyping algorithms, and other analytic workflows for reproducibility, transportability, and stability across multiple independent health systems. Read More and Register
NCATS Real-World Evidence Innovation Challenge Webinar-Using the National Clinical Cohort Collaborative as a secure, national-scale evaluation environment, the Challenge will assess predictive models, causal inference approaches, phenotyping algorithms, and other analytic workflows for reproducibility, transportability, and stability across multiple independent health systems. Read More
