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    Development and validation of an interpretable machine learning model for retrospective identification of suspected infection for sepsis surveillance: a multicentre cohort studyRes... by Renée A.M. Tuinte, Luuk P.J. Smolenaers, Bram T. Knoop, Konstantin Föhse, Tamar J. van der Aart, Hjalmar R. Bouma, Mihai G. Netea, Katrijn Van Deun, Jaap ten Oever, Jacobien J. Hoogerwerf

    Published 2025-09-01
    “…Summary: Background: How to identify suspected infection for sepsis surveillance purposes remains a well-recognised challenge. This study aimed to operationalise suspected infection for sepsis surveillance by developing an interpretable machine learning (ML) model for retrospective identification of patients with sepsis. …”
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    Medical therapy to treat obesity and optimize fertility in women of reproductive age: a narrative review by Janelle Duah, David B. Seifer

    Published 2025-01-01
    “…Given the inherent risks of surgery, the development of vitamin (i.e. B12, folate, vitamin D) and mineral (i.e. iron, copper, zinc) deficiencies, that may impact the health of the mother and fetus, as well as the recommended delay of 1–2 years prior to attempting pregnancy, bariatric surgery should not be considered first-line therapy for obesity management in women of reproductive age, especially for women who are hoping to conceive quickly or are nearing advanced maternal age. …”
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