Publications by authors named "B Gaudilliere"

Background: Preterm birth (PTB) is a serious health problem. PTB complications is the main cause of death in infants under five years of age worldwide. The ability to accurately predict risk for PTB during early pregnancy would allow early monitoring and interventions to provide personalized care, and hence improve outcomes for the mother and infant.

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Disease categories traditionally reflect a historical clustering of clinical phenotypes based on biologic and nonbiologic features. Multiomics approaches have striven to identify signatures to develop individualized categorizations through tests and/or therapies for 'personalized' medicine. Precision health classifies clinical syndromes into endotype clusters based on novel technological advancements, which can reveal insights into the etiologies of phenotypical syndromes.

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Article Synopsis
  • Translational biology emphasizes the connection between clinical phenotypes and biological profiles, helping to transform existing clinical data into actionable biological insights.
  • Traditional computational tools struggle with small datasets and complex clinical data, but state-of-the-art foundation models can effectively analyze electronic health records (EHR) to generate detailed proteomics profiles for pregnant patients.
  • This research identifies a proteomic signature related to gestational diabetes, highlighting the potential of using FM-derived EHR data to enhance disease understanding and improve therapeutic strategies in a more efficient and economical way.
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Background: While advances in endovascular thrombectomy (EVT) have led to high reperfusion rates, most patients treated with EVT do not avoid disability. Post-reperfusion hemorrhagic transformation (HT) is a potential target for improving outcomes. This study examined pretreatment blood-brain barrier (BBB) disruption in tissue that would subsequently become part of the final infarct to evaluate its role in post-EVT HT.

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