AI Medical Compendium

Rethinking multivariate modeling in long-term forecasting: an efficient univariate framework with power decomposition and post-Calibration.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026

Long-term time series forecasting (LTSF) is critical to industrial applications. While recent advances mainly focus on modeling complex multivariate interactions, the practical benefits may only be marginal by challenges such as asynchronous data dri... read more

Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations.

Information sciences Feb 10, 2026

An unprecedented amount of existing functional Magnetic Resonance Imaging (fMRI) data provides a new opportunity to understand how functional fluctuations relate to human cognition/behavior using data-driven approaches. To this end, tremendous effort... read more

Comprehensive dataset on macro-porous PVDF flat sheet membranes for membrane distillation: Materials characteristics, morphology and performance data.

Data in brief Feb 10, 2026

This data article presents a structured dataset from the transfer of a proven PVDF hollow-fiber formulation to macro-porous PVDF flat sheet membranes via a vapor-assisted non-solvent induced phase separation (VNIPS) process designed for membrane dist... read more

Multi-model large-scale AI framework for avian influenza surveillance and preparedness: Harnessing large language models to enhance risk communication, real-time decision support, and public health response strategies.

One health (Amsterdam, Netherlands) Feb 10, 2026

Avian influenza remains a persistent threat to global health security, with serious consequences for food systems, trade, and pandemic preparedness. To address gaps in public health communication and stakeholder-specific decision-making, this study e... read more

Characterization of cutaneous wound healing in swine.

JID innovations : skin science from molecules to population health Feb 10, 2026

The porcine excisional wound model is widely regarded as the most translationally relevant preclinical platform for studying human skin wound healing owing to its close anatomical and physiological similarity to human skin and thus can inform human s... read more

Identification of mitochondrial dysfunction-related biomarkers and immune infiltration in liver ischemia-reperfusion injury via integrated bioinformatics and machine learning.

Biochemical and biophysical research communications Feb 10, 2026

BACKGROUND: Mitochondrial dysfunction contributes to the pathogenesis of multiple diseases. This study explores the involvement of mitochondrial dysfunction-related genes (MDRGs) in liver ischemia-reperfusion injury (LIRI). METHODS: Differentially ex... read more

Multimodal machine learning models for predicting remission in major depressive disorder using clinical data, blood biomarkers, and DNA methylation.

Journal of affective disorders Feb 10, 2026

Major depressive disorder (MDD) is a leading global health burden, yet only one-third of patients achieve remission with initial antidepressant therapy. Inflammatory biomarkers and epigenetic signatures such as DNA methylation have been implicated in... read more

Detection of esophageal varices and prediction of hepatic decompensation in unresectable hepatocellular carcinoma using AI.

Journal of hepatology Feb 10, 2026

BACKGROUND & AIMS: In hepatocellular carcinoma (HCC) with cirrhosis, portal hypertension worsens outcomes. Esophagogastroduodenoscopy (EGD), the current screening method for esophageal varices (EVs), is invasive and may delay therapy. We aimed to dev... read more

Deep learning-based diagnostic classification of multiple sclerosis using multicenter optical coherence tomography data.

Experimental eye research Feb 10, 2026

BACKGROUND: Multiple sclerosis (MS) is a chronic inflammatory disorder of the central nervous system, where timely and accurate diagnosis is essential for effective management. Optical coherence tomography (OCT) enables non-invasive evaluation of ret... read more

Comparative analysis of BORIS, Ethovision, DeepLabCut, and SimBA for quantifying autism spectrum disorder-like behaviors in the valproic acid mouse model.

Neuroscience letters Feb 10, 2026

Preclinical research often relies on animal observation and subsequent behavioral analysis to study brain function; however, traditional methods are considered time-consuming and prone to human error. In contrast, emerging machine learning (ML) appro... read more

Artificial Intelligence Medical Compendium