Deep learning methods have recently become the state of the art in a variety of regulatory genomic tasks, including the prediction of gene expression from genomic DNA. As such, these methods promise to serve as important tools in interpreting the full spectrum of genetic variation observed in personal genomes. Previous evaluation strategies have assessed their predictions of gene expression across genomic regions; however, systematic benchmarking is lacking to assess their predictions across individuals, which would directly evaluate their utility as personal DNA interpreters.
View Article and Find Full Text PDFDeep learning methods have recently become the state-of-the-art in a variety of regulatory genomic tasks including the prediction of gene expression from genomic DNA. As such, these methods promise to serve as important tools in interpreting the full spectrum of genetic variation observed in personal genomes. Previous evaluation strategies have assessed their predictions of gene expression across genomic regions, however, systematic benchmarking is lacking to assess their predictions across individuals, which would directly evaluates their utility as personal DNA interpreters.
View Article and Find Full Text PDFA tiered pediatric Asthma Population Health Management Program (APHMP), based on evidence-based practices, that differentially targets populations for intervention based on rising risk for high utilization and disease complications was implemented at 6 urban and suburban practices affiliated with an academic medical center. In addition to standard pediatric asthma care, APHMP adds regular administration of the asthma control test (ACT), provider education on performance variation, and monitoring through the electronic health record-based asthma registry. As patients' use of acute health care services and complications increases, APHMP integrates multidisciplinary interventions, including an asthma coach who conducts environmental assessments in addition to addressing social needs, into their primary care.
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