CHOP Researchers Create Search Engine Linking Diseases and Observable Traits
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The new search engine, called PhenCards, can help researchers, clinicians, and genetic counselors make more informed clinical decisions.
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The new search engine, called PhenCards, can help researchers, clinicians, and genetic counselors make more informed clinical decisions.
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CHOP researchers have identified RNA editing events that influence gene expression and phenotype, showing that a single nucleotide change can have large downstream effects.
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In a new study, CHOP researchers integrate data regarding how the conditions present clinically with data on protein-protein interactions.
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As part of a landmark package NASA papers, CHOP researchers have described significant mitochondrial changes due to spaceflight.
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Large, national study on COVID-19 in children led by CHOP found 4% of children tested were positive, but there were disparities in positivity rates and disease severity.
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Researchers saw a 6% reduction in prescribing antibiotics that were likely unnecessary for pediatric patients when individual audits and communications strategies were put into place.
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Researchers plan to create a powerful new resource for fine-grained understanding of human growth and development, with an unprecedented window into the unique biology of children.
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CHOP researchers used automated tools to identify sepsis in NICU babies hours before clinical recognition of the condition.
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CHOP is one of 11 recipients of a $40 million, five-year grant that supports faculty development in patient-centered outcomes research achieved through learning health systems.
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A CHOP bioinformatics scientist developed software that rapidly identifies information from electronic health records to help diagnose genetic diseases.