Machine learning applications in placenta accreta spectrum disorders.

This review examines the emerging applications of machine learning (ML) and radiomics in the diagnosis and prediction of placenta accreta spectrum (PAS) disorders, addressing a significant challenge in obstetric care. It highlights recent advancements in ML algorithms and radiomic techniques that utilize medical imaging modalities like magnetic resonance imaging (MRI) and ultrasound for effective classification and risk stratification of PAS. The review discusses the efficacy of various deep learning models, such as nnU-Net and DenseNet-PAS, which have demonstrated superior performance over traditional diagnostic methods through high AUC scores.

Life satisfaction around the world: Measurement invariance of the Satisfaction With Life Scale (SWLS) across 65 nations, 40 languages, gender identities, and age groups.

The Satisfaction With Life Scale (SWLS) is a widely used self-report measure of subjective well-being, but studies of its measurement invariance across a large number of nations remain limited. Here, we utilised the Body Image in Nature (BINS) dataset-with data collected between 2020 and 2022 -to assess measurement invariance of the SWLS across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). All participants completed the SWLS under largely uniform conditions.

Targeting unique ligand binding domain structural features downregulates DKK1 in Y537S ESR1 mutant breast cancer cells.

Resistance to endocrine therapies remains a major clinical hurdle in breast cancer. Mutations to estrogen receptor alpha (ERα) arise after continued therapeutic pressure. Next generation selective estrogen receptor modulators and degraders/downregulators (SERMs and SERDs) show clinical efficacy, but responses are often non-durable.

Material Goods Provided in Pediatric Primary Care Clinics: A Landscape Analysis.

Objectives: To characterize the 1) types of material goods (non-medical items) offered in pediatric residency continuity clinics, 2) consistency of good availability, 3) funding sources used to support supply, 4) whether goods are provided in response to social needs screening, and 5) common challenges with provision. To assess the extent to which provision of goods varied by clinic size and proportion of publicly insured patients.

Methods: Faculty and staff members from clinics in the Academic Pediatric Association's Continuity Research Network (APA CORNET) completed an online survey about material goods provided in their clinic in the preceding 12 months.

Elevated risk of possible sarcopenia and weak muscle strength with higher dietary inflammatory index in Iranian breast cancer survivors: a cross-sectional study.

Background: Increased levels of inflammation in cancer patients and survivors can make them more prone to muscle wasting and sarcopenia. Diet can be an appropriate treatment for alleviating patient complications. Therefore, this study was performed to determine the association between sarcopenia and its components with the dietary inflammatory index (DII) among breast cancer survivors.