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MiCML: a causal machine learning cloud platform for the analysis of treatment effects using microbiome profiles.
BioData Min
January 2025
Department of Applied Mathematics and Statistics, The State University of New York, Korea, Incheon, South Korea.
Background: The treatment effects are heterogenous across patients due to the differences in their microbiomes, which in turn implies that we can enhance the treatment effect by manipulating the patient's microbiome profile. Then, the coadministration of microbiome-based dietary supplements/therapeutics along with the primary treatment has been the subject of intensive investigation. However, for this, we first need to comprehend which microbes help (or prevent) the treatment to cure the patient's disease.
View Article and Find Full Text PDFIncreasing the resolution of malaria early warning systems for use by local health actors.
Malar J
January 2025
MIVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France.
Background: The increasing availability of electronic health system data and remotely-sensed environmental variables has led to the emergence of statistical models capable of producing malaria forecasts. Many of these models have been operationalized into malaria early warning systems (MEWSs), which provide predictions of malaria dynamics several months in advance at national and regional levels. However, MEWSs rarely produce predictions at the village-level, the operational scale of community health systems and the first point of contact for the majority of rural populations in malaria-endemic countries.
View Article and Find Full Text PDFIntroduction: Healthcare provider burnout is highly prevalent and has negative consequences. However, many healthcare workers in LMICs, including Nepal, rarely recognize or ameliorate it. This problem is worse in rural settings.
View Article and Find Full Text PDFPolymorphisms and dental age in non-syndromic cleft lip and palate: a cross-sectional study.
BMC Pediatr
January 2025
Department of Orthodontics, University Hospital Bonn, Medical Faculty, Welschnonnenstr. 17, 53111, Bonn, Germany.
Background: Children with non-syndromic cleft lip with or without palate (CL ± P) may present alterations in dental development. The purpose of this cross-sectional study was to compare the dental age (DA) between children with and without CL ± P, and whether single nucleotide polymorphisms (SNPs) in genes encoding growth factors are associated with DA variations.
Methods: Children aged between 5 and 14 years with and without CL ± P were recruited to participate in this study.
Background: To evaluate the associations between anatomical changes and visual outcomes after membrane peeling in eyes with different stages of idiopathic epiretinal membrane (iERM) using optical coherence tomography angiography (OCTA).
Methods: All iERM eyes were graded into four stages based on the presence of ectopic inner foveal layers (EIFL) and underwent 23-gauge vitrectomy combined with ERM and internal limiting membrane (ILM) peeling, while their fellow eyes were treated as the control group. OCTA was used to measure retinal thickness(RT), foveal avascular zone (FAZ)-related parameters and superficial and deep capillary plexus (SCP and DCP) layers using 6 × 6 mm scans before, 1 month and 3 months after surgery.
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