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A dual-branch graph neural network architecture for drug-target binding affinity prediction.

Graph Neural Networks have emerged as a powerful paradigm for artificial intelligence driven drug discovery, offering molecular representation learning that surpasses many conventional approaches. Traditional experimental pipelines are both time and resource-intensive, modern computational strategies-particularly those that integrate curated libraries of FDA-approved drugs-can accelerate target id...

A critical review of technical progress, clinical heterogeneity, and implementation challenges of artificial intelligence in digestive endoscopy.

INTRODUCTION: Digestive endoscopy is a critical modality for diagnosing and managing gastrointestinal diseases, yet it faces challenges including operator dependence, procedural complexity, and potential complications. Artificial intelligence (AI) has emerged as a promising adjunct to address these limitations by enhancing diagnostic accuracy and optimizing procedural workflows. AREAS COVERED: Thi...

Artificial Intelligence in Radiology: Unlocking New Dimensions of Value.

Artificial intelligence (AI) is emerging as a transformative force in radiology, offering the potential to revolutionize the field by enabling sophist...

Artificial intelligence as medical device in radiology in 2025: the regulatory scenario in the EU, USA, and China.

In the last decade, advanced AI methods were applied to radiology, providing tools for clinical practice. Regulations across countries are a relevant ...

Should AI results be disclosed in mammography reports? A randomised survey study of patient responses to concordant and discordant interpretations.

OBJECTIVES: To assess how disclosing artificial intelligence (AI) results, particularly discordant findings, affects patient trust, anxiety, follow-up...

Temporal and Cell-Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1.

Disruptions in chromatin remodelers and synaptic proteins represent major genetic risk factors for autism spectrum disorder (ASD), yet how these disti...

Comparison of proprietary and fine-tuned large language models for multi-label classification of billing codes from radiology reports.

OBJECTIVES: While large language models (LLMs) have shown promise in medical text analysis, their application in automated medical billing code extrac...

Ethmoid sinus CBCT imaging as a biometric instrument: dataset creation for deep learning identification.

BACKGROUND: Internal cranial structures such as the sphenoid and ethmoid bones, along with their associated sinuses, provide valuable biometric inform...

Use of continuous glucose monitoring to stratify individuals without diabetes.

BACKGROUND: Early detection of metabolic dysfunction before diabetes onset remains a critical challenge in preventive medicine. Although glucose dynam...

Homologous recombination deficiency in Ovarian cancer: The game-changer for first-line maintenance therapy.

Homologous recombination deficiency (HRD) plays a central role in the pathogenesis and therapeutic vulnerability of epithelial ovarian cancer (EOC), p...

Metabolic networks in the tumor microenvironment: roles of amino acid and lipid metabolism pathways in cancer progression and therapy.

Metabolic rewiring, a defining hallmark of cancer, sustains cell proliferation and biosynthesis while coordinating adaptive interactions within the tu...

Identification and quantification of approval desire in social networking service posts and analysis of their linguistic features.

In recent years, the analysis of approval desire in social networking services (SNSs) has garnered significant research attention. However, identifyin...

Microrobotic copper-rich electrochemical interfacing for targeted cancer theranostics in the gut.

The exquisite spatiotemporal regulation of drug biodistribution is paramount for optimal targeted cancer theranostics. Robotic ingestible devices prom...

Bioinspired Tripartite Synaptor with Conjoined Twin Transistors for Homeostasis in Neuromorphic Hardware.

As researchers seek to employ neuromorphic computing to overcome the limitations of conventional von Neumann architecture, mimicking the biological pr...

Advancing Global Drug Safety: Challenges and Future Perspectives in Pharmacovigilance.

Adverse Drug Reactions (ADRs) pose significant challenges to patient safety, healthcare systems, and public health worldwide. As the pharmaceutical la...

CRMIPred: Identifying the spatial interactions among cis-regulatory modules via considering their cross-attended epigenetic profiles.

BACKGROUND AND OBJECTIVE: Modular DNA elements known as cis-regulatory modules (CRMs) play central roles in transcriptional regulation in metazoan spe...

Foundation Model and Multi-Instance Learning-Based Framework for Predicting Lymphovascular Invasion in Prostate Cancer.

BACKGROUND: Lymphovascular invasion (LVI) is a well-established adverse prognostic factor in prostate cancer (PCa). This study aimed to develop and va...

Ageing phenotypes and behavioural determinants of health on age acceleration: the Cancer Survivors' Trajectories of Ageing Research (C*STAR) study protocol.

INTRODUCTION: Age acceleration in survivors of breast cancer is a critical issue because cancer and its treatment can increase structural and numerica...

Mathematical fidelity vs. perceptual realism: A multi-center study of super-resolution radiomics for lung adenocarcinoma invasiveness.

OBJECTIVE: To identify the optimal super-resolution (SR) architecture for radiomics by comparing three models (Residual Channel Attention Network (RCA...

Integrative computational pipeline for the in silico prioritization of potential KIF11-targeting drug candidates in glioblastoma.

Glioblastoma multiforme (GBM) is the most aggressive primary brain tumor of the central nervous system and remains associated with poor prognosis. Alt...