AI Medical Compendium

MDFE-Net: A Meta-Learning Driven Dual-Branch Feature Extraction Network for E-Nose Sensor Drift Adaptation.

ACS sensors Apr 28, 2026

Gas sensors are prone to ageing, environmental fluctuations, and device-to-device variability during long-term deployment. The resulting sensor drift progressively erodes the recognition performance of Electronic nose (E-nose) systems. Here, a Meta-l... read more

Identifying Biomarkers Using a Portable, Home-Based Eye-Tracking System to Predict Short-Term Visual Fatigue Deterioration: Prospective Observational Feasibility Study.

JMIR human factors Apr 28, 2026

BACKGROUND: The escalating prevalence of screen-related eye fatigue has become a health burden in the digital era worldwide, yet routine monitoring relies largely on subjective reports. This underscores the urgent need for clinically applicable, obje... read more

DiffBulk: Enhancing Spatial Transcriptomic Prediction with Diffusion-Based Training.

IEEE transactions on medical imaging Apr 28, 2026

Spatial Transcriptomics (ST) technology detects gene expression from tissue biopsies, playing an emerging role in cancer diagnosis and precision medicine. However, the high cost of ST technology limits its broader application. Recently, deep learning... read more

RetinexDA: Progressive Disentanglement Domain Adaptation for Unsupervised Cross-Modality Medical Image Segmentation.

IEEE journal of biomedical and health informatics Apr 28, 2026

Deep neural networks have achieved strong performance in medical image segmentation when the training and testing data share similar appearance characteristics. However, this assumption is rarely satisfied in practical clinical scenarios, where imagi... read more

DFCNet: A Precise Detection Approach for Obstructive Sleep Apnea-Hypopnea Events Using Airflow and Respiratory Effort Signals.

IEEE journal of biomedical and health informatics Apr 28, 2026

OBJECTIVE: The diagnosis of Sleep Apnea-Hypopnea Syndrome (SAHS) holds significant importance for assessing sleep quality and treating sleep disorders. However, the detection of hypopnea events has not been given due emphasis, and the precise delinea... read more

A Comprehensive Framework for Generating Adaptive Arbitrarily Predefined-Time Convergent RNNs for Dynamic Zero-Finding Problem Applied to Circuits and Robotics.

IEEE transactions on cybernetics Apr 28, 2026

Recurrent neural networks (RNNs) with predefined-time convergence capabilities are among the most powerful solvers for time-varying zero-finding problems (TVZFPs). However, a comprehensive design framework for such neural networks has not yet been we... read more

Clinical Knowledge Representation in Data Science.

Annual review of biomedical data science Apr 28, 2026

The vast potential of observational healthcare data in biomedical discovery remains largely unrealized because clinical records are fragmented, unstructured, and generated for patient care rather than research. Clinical knowledge representation (KR) ... read more

OCTN1 variants shape innate immunity and predict individual response to anti-TNFα in ulcerative colitis patients: An exploratory study.

Inflammatory bowel diseases Apr 28, 2026

BACKGROUND: Ulcerative colitis (UC) exhibits substantial heterogeneity in inflammatory pathways and therapeutic response. The organic cation transporter OCTN1 (SLC22A4) and its rs1050152 missense variant (L503F) have been implicated in innate immune ... read more

Acta Haematologica in the Era of Artificial Intelligence.

Acta haematologica Apr 28, 2026

Machine Learning-Based Risk Stratification for Symptomatic Intracranial Hemorrhage and 3-month Prognosis Following Intravenous Thrombolysis.

Cerebrovascular diseases extra Apr 28, 2026

INTRODUCTION: Intravenous thrombolysis (IVT) with tissue-type plasminogen activator (tPA) is a cornerstone of acute ischemic stroke treatment, yet its benefits are limited by the risk of symptomatic intracranial hemorrhage (sICH), a complication asso... read more

Artificial Intelligence Medical Compendium