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Immunosuppressive regimens and long-term kidney transplant outcomes: A dual survival modeling framework.

Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney transplantation. Both induction and maintenance therapies are widely used, yet their comparative effectiveness across diverse recipient populations requires further evaluation. This national retrospective cohort study analyzed 228,855 deceased-donor kidney transplant recipients using data from 2000-20...

Review Article: Advances in the Diagnosis of Dysplasia in Barrett's Oesophagus.

BACKGROUND: Barrett's oesophagus (BE), the precursor to oesophageal adenocarcinoma, progresses through a stepwise dysplastic sequence. Accurate dysplasia detection is critical, as endoscopic eradication therapy is highly effective. The current standard of care is limited by poor real-world adherence to the Seattle protocol, sampling error, and significant interobserver variability in pathologic in...

Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging.

PURPOSE: Prostate cancer (PCa) is the second most common cancer and cause of cancer deaths among American men. Existing risk prediction methods have l...

Delta radiomics for predicting early radiation-induced lung injury after thoracic radiotherapy: a retrospective paired-CT study.

PURPOSE: Early radiation-induced lung injury remains a clinically relevant complication after thoracic radiotherapy. We compared pretreatment, posttre...

Quercetin derivatives from Camellia sinensis for the discovery of anticancer compound against P-glycoprotein-mediated multidrug resistance: a computational approach.

Cancer is an ongoing severe health complication and public health concern. Efforts have been made to overcome this; however, the emergence of multidru...

Metabolic and vascular outcomes after transition to the MiniMed 780G system in adults ≥65 years with type 1 diabetes: a randomised, single-centre study.

AIMS/HYPOTHESIS: Hybrid closed-loop insulin delivery systems are increasingly regarded as the preferred therapy for type 1 diabetes, although evidence...

Advances and challenges of splicing prediction with AI.

RNA alternative splicing is a fundamental post-transcriptional mechanism whose dysregulation drives various human diseases. Predicting splicing outcom...

Is cellular senescence a biological feature of Long COVID? A transcriptomic analysis across comparative post-acute sequelae phenotypes.

INTRODUCTION: Cellular senescence, involving cell-cycle arrest and inflammatory factor release, may play a role in Long COVID development. We investig...

Quantitative Impact of T1 Subtraction Maps on Enhancing Component Delineation and Measured Volumes in Minimally Enhancing Pediatric Brain Tumors.

BACKGROUND AND PURPOSE: The delineation of contrast enhancement in pediatric brain tumors is crucial for effective surgical and treatment planning, as...

How is Bias Learned in Medical Image Analysis Models? An Exploration of the Encoding of Demographic Information in Deep Learning Models Trained to Detect Abnormalities on Chest X-Rays.

Deep learning models achieve strong diagnostic performance in medical imaging, yet often exhibit systematic performance disparities across demographic...

Dual channel drug-drug interactions extraction based on cross attention.

Drug-drug interactions (DDIs) play a critical role in several biomedical applications, particularly in pharmacovigilance. While neural networks have s...

Medical students' knowledge and attitude towards using artificial intelligence in medical education and practice: a pre-post study.

BACKGROUND: This study aims to evaluate the knowledge and attitudes of Mansoura medical students towards artificial intelligence (AI) use in medical e...

Real-Time and Non-Invasive Detection of Respiratory Viral Infections Using an Intelligent Odor Monitoring System (IOMS).

Real-time monitoring of infection-associated volatile organic compounds (VOCs) offers a non-invasive pathway for early respiratory infection detection...

GaitNet: Transfer Learning-Enhanced CNN-GRU Architecture for Intention Detection in Healthy and Post-Stroke Participants.

Highly accurate, data-efficient, and real-time detection of human motion intention is essential for the effective control of assistive and rehabilitat...

Early prediction and risk assessment of adverse drug combinations using ensemble learning.

Modern day healthcare has seen an increase in polypharmacy, which is the prescription of multiple drugs as medication to treat illnesses simultaneousl...

Evaluating Large Language Models for Post-Publication Promotion: A Blinded Comparative Study of Social Media Posts in Public Health.

BACKGROUND: Social media platforms such as X (formerly Twitter) are increasingly used by journals, authors, and institutions to promote newly publishe...

Development and validation of a multimodal machine learning prediction model for heart failure after acute myocardial infarction.

Heart failure after acute myocardial infarction (post-MI HF) has become a major global health problem. Accurate risk prediction is essential for optim...

Clinical and artificial intelligence assessed echocardiographic predictors of outcomes after acute myocardial infarction.

BACKGROUND: Early risk stratification in patients after acute myocardial infarction (AMI) is critical for guiding therapy and resource allocation. Whi...

Low-intensity transcranial ultrasound stimulation improves motor behavior and modulates cortical functional network connectivity in mice with ischemic stroke.

The recovery of motor function in patients with ischemic stroke is closely related to the plastic remodeling of cortical functional networks. Low-inte...

Self-healing neural networks via modular patch layers for diverse structural and adversarial damages.

The growing use of modern deep neural networks (DNNs) in safety-critical and continuously operating systems exposes them to safety-centric concerns an...