The overarching goal of this research is to develop a new approach to providing intelligent clinical decision support (CDS) by combining statistical machine learning (ML) and expert knowledge via personalizing mechanistic physiological models and expert systems. CDS that incorporates artificial intelligence (AI) is at the forefront of research in biomedical informatics (ref). Early AI-driven CDS in medicine modeled expert knowledge in expert systems but encountered challenges with scalability and maintaining up-to-date knowledge ()(). Recently, ML...

The developing Drosophila wing is the critical paradigm for study of cell competition - as a model system it is unsurpassed for mosaic studies of cell-cell interactions in living animals, and offers unparalleled genetic and molecular toolkits. We recently discovered that communication between the “winner” and “loser” cells is mediated by a novel signaling pathway consisting of components co-opted from the highly conserved innate immune response pathways. Our long-term goal is to explore both proximate...

Combining theory, synthesis, atomic and electronic structural information we will study the existence and effects of intrinsic quantum textures in quantum materials. Experiments will be x-ray and neutron scattering and theory will be density functional theory.

Insufficient physical activity (PA) is the 4th leading cause of mortality worldwide. In 2020, only 46.9% of US adults were sufficiently active. For selected groups, e.g., postpartum (PP) individuals, the percentage is even lower: only 23.4% meet guidelines. This low level is especially problematic because the PP period encompasses a cluster of conditions – increased visceral adiposity (VAT), weight retention, immune activation, and dysregulated affect – that may compromise the new mother’s health and her...