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| http://dx.doi.org/10.1053/j.jvca.2020.10.058 | DOI Listing |
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Early Childhood Concerns: Counseling on Sleep Issues, Thumb-Sucking, Picky Eating, School Readiness, and Oral Health.
Am Fam Physician
January 2025
Abrazo Family Medicine Residency, Phoenix, Arizona.
Common early childhood concerns and behaviors include sleep issues, thumb-sucking, pacifier use, picky eating, school readiness, and oral health. Family physicians must recognize when these indicate an underlying disorder and offer constructive and evidence-based strategies to support healthy child development and family well-being. Behavioral interventions and education to address sleep issues can alleviate stress and decrease fatigue for the whole family.
View Article and Find Full Text PDFConformational Antibodies to Proteolipid Protein-1 and Its Peripheral Isoform DM20 in Patients With CNS Autoimmune Demyelinating Disorders.
Neurol Neuroimmunol Neuroinflamm
March 2025
Neuroimmunology Laboratory and Neuroimmunology Research Section, IRCCS Mondino Foundation, Pavia, Italy.
Background And Objectives: Antibodies to proteolipid protein-1 (PLP1-IgG), a major central myelin protein also expressed in the peripheral nervous system (PNS) as the isoform DM20, have been previously identified mostly in patients with multiple sclerosis (MS), with unclear clinical implications. However, most studies relied on nonconformational immunoassays and included few patients with non-MS CNS autoimmune demyelinating disorders (ADDs). We aimed to investigate conformational PLP1-IgG in the whole ADD spectrum.
View Article and Find Full Text PDFEffectiveness of couple-based violence prevention education in reducing intimate partner violence during pregnancy in rural Ethiopia: A cluster randomized controlled trial.
PLoS One
January 2025
Department of Population and Family Health, Institute of Health, Jimma University, Jimma, Ethiopia.
Background: Pregnancy is often seen as a joyful and fulfilling time for many women. However, a significant number of women in Ethiopia experience intimate partner violence (IPV) during this period. Despite this, there is limited evidence on interventions aimed at preventing violence during pregnancy.
View Article and Find Full Text PDFGlaucoma detection and staging from visual field images using machine learning techniques.
PLoS One
January 2025
School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.
Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.
Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.
Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition.
J Am Med Inform Assoc
January 2025
Department of Biomedical Informatics, Columbia University, New York, NY 10032, United States.
Objective: Extracting PICO elements-Participants, Intervention, Comparison, and Outcomes-from clinical trial literature is essential for clinical evidence retrieval, appraisal, and synthesis. Existing approaches do not distinguish the attributes of PICO entities. This study aims to develop a named entity recognition (NER) model to extract PICO entities with fine granularities.
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