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A Mobile Health Intervention to Support Collaborative Decision-Making in Mental Health Care: Development and Usability.
JMIR Form Res
January 2025
Early Intervention in Psychosis Advisory Unit for South-East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Background: Shared decision-making between clinicians and service users is crucial in mental health care. One significant barrier to achieving this goal is the lack of user-centered services. Integrating digital tools into mental health services holds promise for addressing some of these challenges.
View Article and Find Full Text PDFAcute Rhinosinusitis: Rapid Evidence Review.
Am Fam Physician
January 2025
University of Kansas Medical Center, Kansas City.
Acute rhinosinusitis causes more than 30 million patients to seek health care per year in the United States. Respiratory tract infections, including bronchitis and sinusitis, account for 75% of outpatient antibiotic prescriptions in primary care. Sinusitis is a clinical diagnosis; the challenge lies in distinguishing between the symptoms of bacterial and viral sinusitis.
View Article and Find Full Text PDFHepatic and Pancreatic Cellular Response to Early Life Nutritional Mismatch.
Endocrinology
January 2025
Department of Pediatrics, Divisions of Neonatology & Developmental Biology and Endocrinology, Neonatal Research Center of the UCLA Children's Discovery & Innovation Institute at the David Geffen School of Medicine at UCLA, Los Angeles, California 90095-1752.
To determine the basis for perinatal nutritional mismatch causing metabolic dysfunction associated steatotic liver disease (MASLD) and diabetes mellitus, we examined adult phenotype, hepatic transcriptome, and pancreatic β-islet function. In prenatal caloric restricted rat with intrauterine growth restriction (IUGR) and postnatal exposure to high fat with fructose (HFhf) or high carbohydrate (RC), we investigated male and female IUGR-Hfhf and IUGR-RC, versus HFhf and CON offspring. Males more than females displayed adiposity, glucose intolerance, insulin resistance, hyperlipidemia, hepatomegaly with hepatic steatosis.
View Article and Find Full Text PDFPrecision data-driven modeling of cortical dynamics reveals person-specific mechanisms underpinning brain electrophysiology.
Proc Natl Acad Sci U S A
January 2025
Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130.
Task-free brain activity affords unique insight into the functional structure of brain network dynamics and has been used to identify neural markers of individual differences. In this work, we present an algorithmic optimization framework that directly inverts and parameterizes brain-wide dynamical-systems models involving hundreds of interacting neural populations, from single-subject M/EEG time-series recordings. This technique provides a powerful neurocomputational tool for interrogating mechanisms underlying individual brain dynamics ("precision brain models") and making quantitative predictions.
View Article and Find Full Text PDFDiagnostic Power of MicroRNAs in Melanoma: Integrating Machine Learning for Enhanced Accuracy and Pathway Analysis.
J Cell Mol Med
January 2025
Cancer Biology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
This study identifies microRNAs (miRNAs) with significant discriminatory power in distinguishing melanoma from nevus, notably hsa-miR-26a and hsa-miR-211, which have exhibited diagnostic potential with accuracy of 81% and 78% respectively. To enhance diagnostic accuracy, we integrated miRNAs into various machine-learning (ML) models. Incorporating miRNAs with AUC scores above 0.
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