Community Pediatrics
Genomics/Epigenomics
Neonatology
Mohan Pammi, MD, PhD, MRCPCH
Professor
Baylor College of Medicine
Bellaire, Texas, United States
Josef Neu, MD
Professor
Pediatrics/Neonatology
University of Florida
Gainesville, Florida, United States
The NIH defines precision medicine as ‘an innovative approach that takes into account individual differences in patients’ genes, environments, and lifestyles’. There is an urgent need to shift our current thinking on traditional reactive medicine based on current data to a proactive precision medicine (PM) where the trajectory towards health and disease can be predicted in advance, so interventions to improve survival or decrease morbidity could be instituted to improve survival and decrease morbidity.
Recent advances in high-throughput technologies have provided access to multiomics biological data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, immunomics, etc.) and provide a holistic view of pathophysiology in pregnancy and preterm infants. Biological insights gained from the multi-omics should be integrated with clinical and social data and applied for the best clinical outcomes possible. Integration of these heterogeneous datasets using state-of-the-art Artificial Intelligence (AI) enables development of markers that can predict short- and long-term health trajectories and early timely interventions to improve outcomes. There are several subfields of AI that include machine learning, neural networks and deep learning that yield reliable holistic models to predict mortality, morbidity, or other complications in pregnant and preterm infants. The insights gained by integration of multi-omic datasets with these different forms of AI are likely to lead to personalized healthcare decision making (precision medicine) and biomarker discovery.
Speaker: Josef Neu, MD – University of Florida
Speaker: Mohan Pammi, MD, PhD, MRCPCH – Baylor College of Medicine
Speaker: Nima Aghaeepour, PhD – Stanford University School of Medicine
Speaker: Ivana Maric, PhD – Stanford University School of Medicine