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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms.
BMC Med Inform Decis Mak
January 2025
Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
Background: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a predictive model for LDD among children presenting with diarrhea to health facilities.
Methods: LDD was defined as a diarrhea episode lasting ≥ 7 days.
Combination of rapamycin and adipose-derived mesenchymal stromal cells enhances therapeutic potential for osteoarthritis.
Stem Cell Res Ther
January 2025
IRMB, Univ Montpellier, INSERM, CHU St Eloi, 80 AV A Fliche, 34295-Cedex-05, Montpellier, France.
Background: The regenerative potential of mesenchymal stromal/stem cells (MSCs) has been extensively studied in clinical trials in the past decade. However, despite the promising regenerative properties documented in preclinical studies, for instance in osteoarthritis (OA), the therapeutic translation of these results in patients has not been fully conclusive. One factor contributing to this therapeutic barrier could be the presence of senescent cells in OA joints.
View Article and Find Full Text PDFCombining theory and usability testing to inform optimization and implementation of an online primary care depression management tool.
BMC Med Inform Decis Mak
January 2025
Department of Psychiatry, University of Ottawa, Ottawa, Canada.
Background: The 'Ottawa Depression Algorithm' is an evidence-based online tool developed to support primary care professionals care for adults with depression. Uptake of such tools require provider behaviour change. Identifying issues which may impact use of an innovation in routine practice (i.
View Article and Find Full Text PDFAssociation between combined healthy lifestyles and infertility: a cross-sectional study in US reproductive-aged women.
BMC Public Health
January 2025
Reproductive Medicine Centre, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China.
Background: Infertility is a widespread problem for couples worldwide, and lifestyle factors are the cornerstone of infertility prevention. This research seeks to explore the association between combined healthy lifestyles and infertility risk among women of reproductive age.
Methods: This study analyzed data from the National Health and Nutrition Examination Survey (NHANES, 2013-2018), concentrating on 2,154 women aged 18 to 44.
A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling.
BMC Med Inform Decis Mak
January 2025
Department of Orthopedics, the First Hospital of Jilin University, Changchun, Jilin Province, 130021, China.
Purpose: Identifying patients who may benefit from multiple drilling are crucial. Hence, the purpose of the study is to utilize radiomics and deep learning for predicting no-collapse survival in patients with femoral head osteonecrosis.
Methods: Patients who underwent multiple drilling were enrolled.
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