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Common Variable Immunodeficiency Disorder: A Decade of Insights from a Cohort of 150 Patients in India and the Use of Machine Learning Algorithms to Predict Severity.
Journal of clinical immunology
Aug 26, 2025
Common Variable Immunodeficiency (CVID) is a heterogeneous disorder characterized by impaired antibody production and recurrent infections. In this study we investigated the clinical and immunological features of CVID in Indian patients and develops ...
Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis.
European journal of medical research
Aug 26, 2025
OBJECTIVE: This study aims to develop a robust and clinically applicable framework for preoperative grading of meningiomas using T1-contrast-enhanced and T2-weighted MRI images. The approach integrates radiomic feature extraction, attention-guided de...
Assessment of pulse wave velocity through weighted visibility graph metrics from photoplethysmographic signals.
Scientific reports
Aug 26, 2025
Pulse Wave Velocity (PWV) is a widely recognized non-invasive biomarker of arterial stiffness and an independent predictor of cardiovascular risk, including atherosclerosis, hypertension, and vascular aging. Accurate, accessible estimation of PWV is,...
Optimized AI-based neural decoding from BOLD fMRI signal for analyzing visual and semantic ROIs in the human visual system.
Journal of neural engineering
Aug 26, 2025
. AI-based neural decoding reconstructs visual perception by leveraging generative models to map brain activity measured through functional magnetic resonance imaging (fMRI) into the observed visual stimulus.. Traditionally, ridge linear models trans...
Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT.
Stroke and vascular neurology
Aug 26, 2025
BACKGROUND: CT is commonly used to image patients with ischaemic stroke but radiologist interpretation may be delayed. Machine learning techniques can provide rapid automated CT assessment but are usually developed from annotated images which necessa...
Enhancing the early detection of Alzheimer's disease using an integrated CNN-LSTM framework: A robust approach for fMRI-based multi-stage classification.
PloS one
Aug 26, 2025
Alzheimer's Disease poses a significant challenge as a progressive and irreversible neurological condition striking the elderly population. Its incurable nature correlates with a significant rise in death rates. However, early detection can slow its ...
Comparative analysis of outcomes in high KDPI spectrum kidney transplants using unsupervised machine learning algorithm.
PloS one
Aug 26, 2025
BACKGROUND: The Kidney Donor Profile Index (KDPI) is a continuous metric used to estimate the risk of allograft failure for kidneys from deceased donors. Lower KDPI scores are associated with longer post-transplant kidney function. This study aims to...
Exploring preparatory reading in bidirectional sight and written translation through clustering analysis of eye-tracking data.
PloS one
Aug 26, 2025
Preparatory reading-the phase between a translator's initial reading of the source text and the production of the first word of the target text-remains underexplored despite its crucial role in both sight (SiT) and written translation (WT). This stud...
Causal effect of conventional anti-dementia drugs on economic burden: an orthogonal double/debiased machine learning approach.
BMC geriatrics
Aug 25, 2025
BACKGROUND: The Inflation Reduction Act (IRA) did not introduce a cap on out-of-pocket (OOP) for newly approved Alzheimer's Disease (AD) drugs, such as lecanemab which is covered under Medicare Part B. Therefore, expanding the use of conventional ant...
Hospital acquired drug resistant pathogens infections in patients with viral respiratory tract infections: a retrospective study.
BMC infectious diseases
Aug 25, 2025
BACKGROUND: Viral respiratory infections (VRTIs) caused by influenza (Flu) and COVID-19 pose significant global health challenges. Clinical outcomes are further exacerbated by infections with hospital acquired drug resistant pathogens (DRPs).
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