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Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning.
Brain Behav
January 2025
Computational and Artificial Intelligence Department, Institute of Cognitive Science Studies, Tehran, Iran.
Purpose: The neurobiological heterogeneity present in schizophrenia remains poorly understood. This likely contributes to the limited success of existing treatments and the observed variability in treatment responses. Our objective was to employ magnetic resonance imaging (MRI) and machine learning (ML) algorithms to improve the classification of schizophrenia and its subtypes.
View Article and Find Full Text PDFA virtual reality intervention to increase interracial empathy and upstander behaviors in nursing leaders.
Soc Sci Med
December 2024
Nursing Administration, Mayo Clinic, Rochester, MN, USA.
Efforts to improve diversity, equity, and inclusion (DEI) in healthcare have increased, targeting healthcare worker biases with the goal of increasing inclusion of employees from racial and ethnic minoritized groups and improving care for patients from these groups. Virtual reality (VR) remains an underutilized mechanism for effecting behavior and attitude change. VR educational interventions work through two primary pathways, behavior rehearsal and embodiment.
View Article and Find Full Text PDFDevelopment of a short form of the Geriatric Depression Scale-30 based on item response theory and the RiskSLIM algorithm.
Gen Hosp Psychiatry
December 2024
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. Electronic address:
Recently, methods of quickly and accurately screening for geriatric depression have attracted substantial attention. Short forms of the 30-item Geriatric Depression Scale have been developed based on classical test theory, such as the GDS-4, GDS-5, and GDS-15, but they have shown low diagnostic accuracy. Therefore, in this study, we developed a new short form of the GDS-30 based on item response theory and the RiskSLIM, a machine learning method, and validated it based on gray matter volume.
View Article and Find Full Text PDFTiCT MXene Functionalized via Boron Doped MoS Quantum Dots: A Synergy of Heterojunctions and Doping Effect Enabling Ultrasensitive SO Detection at Room Temperature.
Small
December 2024
Centre for Nanoscience and Engineering, Indian Institute of Science, Bengaluru, 560012, India.
The design of mixed-dimensional heterostructures has emerged to be a new frontier of research as it induces exciting physical/chemical properties that extend beyond the fundamental properties of single dimensional systems. Therefore, rational design of heterostructured materials with novel surface chemistry and tailored interfacial properties appears to be very promising for the devices such as the gas sensors. Here, a highly sensitive gas sensor device is constructed by employing heterostructures of boron doped molybdenum disulfide quantum dots (B-MoS Qdots) assembled into the matrix of TiCT MXene.
View Article and Find Full Text PDFOver the past 160 years, the UK has experienced significant winter mortality among older people. A quarter of a million older people have died from cold-related illnesses over the past decade, with one older person dying every seven minutes. Misconceptions about winter deaths must be addressed.
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