Pathology

Global Trends and Insights in Cervical Cancer Research: A Bibliometric Analysis from 2000 to 2024.

Cervical cancer is the fourth most common malignant disease in women worldwide. Although the promotion and use of human papillomavirus (HPV) vaccinations have to some extent reduced the incidence of cervical cancer, problems persist, particularly in low- and middle-income nations. This bibliometric study, which shows the worldwide landscape of cervical cancer research from 2000 to 2024 through sci...

Language Model-Enhanced Geometric Learning for Metalloprotein Pathogenic Mutations.

The interaction between proteins and metal ions plays a pivotal role in the pathogenesis of various diseases. Base pair substitution subsequently triggers single-amino acid substitutions, leading to missense mutations that may impair protein function and consequently cause severe human diseases. Predicting the pathogenicity or benign nature of mutation sites in metalloproteins is crucial for early...

Spheroids with Artificial Mineral Organelles: Machine-Learning-Assisted Analysis and Control of Mechanical Properties, Fusion, and Ossification.

Controlling the balance between structural integration and functional maturation of microtissues remains a central challenge in bone tissue engineerin...

Hydrogen Vacancies Heal Pb-Dimer Deep Traps and Suppress Coupled Ionic-Electronic Losses in Hybrid Perovskites.

Organic-inorganic hybrid perovskites combine strong optical absorption, long carrier lifetimes, and unusual defect tolerance, yet these favorable prop...

AI-Powered Surface Light Microscopy for In Situ Profiling of Cell Adhesions and Membrane Protein Binding Kinetics.

Ligand binding to membrane proteins initiates signaling and enables therapeutic intervention, positioning these receptors as central targets in biolog...

Self-Driving Scanning Probe Microscopy: From Acceleration to Discovery and Manipulation.

ConspectusScanning probe microscopy offers a powerful suite of techniques for investigating meso-, micro- and nanoscale phenomena ─ enabling the explo...

Individualised treatment effects of corticosteroids in IgA nephropathy.

BACKGROUND: IgA nephropathy (IgAN) has diverse clinical presentations and responses to treatment. For systemic corticosteroids in particular, randomis...

Time, Tissue, and Team: Reframing Transbronchial Biopsy in Lung Transplantation as an Integrated Diagnostic System.

Despite remarkable advances in transplant pathology, molecular diagnostics, imaging, and biomarker discovery, uncertainty remains an intrinsic feature...

Application of cell-free RNA in liquid biopsy.

Cell free RNA (cfRNA) based liquid biopsy is pushing noninvasive diagnostics forward, moving the field from a static view focused on genomics into a m...

Artificial Intelligence-Based Computer-Aided Detection in Breast Cancer Diagnosis: Variation by Breast Density, Imaging Feature, and Tumor Characteristics.

RATIONALE AND OBJECTIVES: To determine whether an FDA-approved artificial intelligence computer-aided detection and diagnosis (AI-CAD) system assigns ...

Integrative multi-omics reveals MHC class II-mediated neuroinflammation and systemic metabolic dysregulation as transdiagnostic drivers in major brain disorders.

Psychiatric, neurodevelopmental, and neurodegenerative disorders, including Alzheimer's disease (AD), attention-deficit/hyperactivity disorder (ADHD),...

SA-TransU²Net: a rock thin section grain segmentation network based on multi-scale RSU and global context enhancement.

Rock thin section segmentation serves as a critical technical pillar for reservoir characterization in oil and gas exploration. It enables the effecti...

AI-based organ weight estimation from postmortem computed tomography.

Accurate organ weight determination is essential in forensic autopsy. Postmortem computed tomography (CT) combined with Artificial Intelligence (AI)-b...

Multi-omics machine learning-driven investigation of super-enhancers signatures and prognostic biomarkers in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common histological subtype of malignant lung tumors, characterized by high incidence and mortality rates. Supe...

Role of artificial intelligence in developing predictive models for major adverse cardiovascular outcomes using CCTA adipose tissue characteristics: a systematic review and meta-analysis.

Cardiovascular diseases remain as a leading cause of mortality and morbidity worldwide, with coronary artery disease (CAD) and its complications, coll...

Explainable Ensemble Learning With Stain Normalization and Deep Feature Extraction for Acute Lymphoblastic Leukaemia Classification.

Acute lymphoblastic leukaemia (ALL), a common form of cancer, remains a life-threatening condition that affects individuals worldwide, including both ...

Machine learning-based prognostic model and single-cell transcriptomic integration for identifying brain metastasis-associated malignant subpopulations and potential therapeutic targets in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is a highly prevalent and lethal form of lung cancer. Brain metastasis (BrM) is a major cause of mortality in p...

Predictive modeling of soft tissue changes after orthodontic treatment with premolar extractions using frontal facial photographs.

BACKGROUND: The present study aimed to determine the accuracy of machine learning in predicting soft tissue changes after orthodontic treatment after ...

DDI-MMAF: Multi-modal affine fusion of visual and semantic representations for anticancer drug synergy prediction.

Predicting anticancer drug synergy is pivotal for personalizing combination therapies; however, existing deep learning models often rely heavily on co...

Deep learning-empowered Raman spectroscopy for gastric cancer diagnosis: a review of data pipelines and algorithms.

Raman spectroscopy is emerging as a label-free tool for gastric cancer diagnosis by capturing molecular fingerprints of malignant transformation. Howe...