Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 54,411 to 54,420 of 226,183 articles

ProtLoc-GRPO: Cell line-specific subcellular localization prediction using a graph-based model and reinforcement learning.

Biophysical journal Feb 4, 2026
Subcellular localization prediction is crucial for understanding protein functions and cellular processes. Subcellular localization is dependent on tissue and cell lines derived from different cell types. Predicting cell line-specific subcellular loc... read more 

Dual-kingdom necrobiome succession extends postmortem interval estimation into skeletonization.

Forensic science international. Genetics Feb 4, 2026
Forensic estimation of the postmortem interval (PMI) becomes increasingly challenging when decomposition progresses beyond the initial weeks, as traditional medicolegal indicators lose their temporal precision. Here, we demonstrate that dual-kingdom ... read more 

Iatrogenic plasticizer Di(2-ethylhexyl) phthalate (DEHP) exposure increases Sepsis mortality risk: Machine learning implicates monocyte-driven immune dysregulation.

Toxicology and applied pharmacology Feb 4, 2026
Sepsis poses a significant global health burden, and ICU patients are disproportionately exposed to di(2-ethylhexyl) phthalate (DEHP), an immunotoxic plasticizer that leaches from PVC medical devices; however, whether this exposure causally influence... read more 

Pioneering the future: Delivering the first digitally generated CMC post-approval change dossier to global regulators simultaneously.

Journal of pharmaceutical sciences Feb 4, 2026
As medicinal products and their manufacturing processes evolve, biopharmaceutical companies must continuously manage, document, and submit post-approval chemistry, manufacturing, and controls (CMC) changes to global health authorities. Traditionally,... read more 

Driving factors and predictive model of dissolved N2O concentrations in a complex aquatic network.

Environmental research Feb 4, 2026
Inland water networks, comprising hydrologically integrated rivers, agricultural ditches, and aquaculture ponds, are significant N2O sources, yet their complexity impedes accurate quantification. Here we developed an integrated framework combining st... read more 

A Novel Risk Calculator for Nonhome Discharge after Lower Extremity Bypass.

Annals of vascular surgery Feb 4, 2026
BACKGROUND: Nonhome discharge (NHD) after lower extremity bypass is associated with discharge delays, increased postdischarge complications, and reduced patient quality of life. Accurate risk assessment would enhance shared decision-making, preoperat... read more 

DMS2F-HAD: A Dual-branch Mamba-based Spatial-Spectral Fusion Network for Hyperspectral Anomaly Detection

arXiv Feb 4, 2026
Hyperspectral anomaly detection (HAD) aims to identify rare and irregular targets in high-dimensional hyperspectral images (HSIs), which are often noisy and unlabelled data. Existing deep learning methods either fail to capture long-range spectral de... read more 
Computer Vision and Pattern Recognition cs.AI

Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems

arXiv Feb 4, 2026
Though Explainable AI (XAI) has made significant advancements, its inclusion in edge and IoT systems is typically ad-hoc and inefficient. Most current methods are "coupled" in such a way that they generate explanations simultaneously with model infer... read more 
Machine Learning cs.AI cs.DC cs.SE

JSynFlow: Japanese Synthesised Flowchart Visual Question Answering Dataset built with Large Language Models

arXiv Feb 4, 2026
Vision and language models (VLMs) are expected to analyse complex documents, such as those containing flowcharts, through a question-answering (QA) interface. The ability to recognise and interpret these flowcharts is in high demand, as they provide ... read more 
Computer Vision and Pattern Recognition cs.AI

Context Determines Optimal Architecture in Materials Segmentation

arXiv Feb 4, 2026
Segmentation architectures are typically benchmarked on single imaging modalities, obscuring deployment-relevant performance variations: an architecture optimal for one modality may underperform on another. We present a cross-modal evaluation framewo... read more 
Computer Vision and Pattern Recognition
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