Pathology

Metabolic imaging for gamete and embryo assessment through advanced microscopy technologies: a novel avenue for artificial intelligence?

Infertility affects approximately one in six people globally and demand for ARTs, is expected to rise as parenthood is increasingly delayed. However, ART success remains constrained by gamete and embryo quality, female age, and biological factors beyond chromosomal status alone, highlighting the need for non-invasive methods that can complement current morphology-based and genetic approaches. Beca...

Current and Novel Biomarkers for Diagnosis and Subtyping of Primary Aldosteronism.

Primary aldosteronism is a common and potentially curable cause of secondary hypertension, yet it remains substantially underdiagnosed. Current diagnostic pathways rely on the aldosterone-to-renin ratio, confirmatory tests, and subtype classification by imaging and adrenal venous sampling. However, these approaches are limited by assay variability, medication effects, imperfect diagnostic accuracy...

Distinguishing normal and abnormal tissues in nonclinical toxicity studies using unsupervised representation learning.

Nonclinical toxicity studies are essential components of the drug development process and are based on labor-intensive visual examination of large num...

Construction and validation of a phenotypic prediction model for bacterial gentamicin resistance using deep learning with gene sequences.

The emergence of bacterial resistance to antibiotics poses a significant threat to human health; thus, there is an urgent need for new strategies in u...

A modern review of uveal melanoma: molecular insights, clinical management, and emerging therapies.

Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by an aggressive clinical course, high propensity fo...

IgA-Enriched Phenotype Predicts Liver-Related Events in MASLD.

BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a complex, multifactorial condition. To achieve truly personali...

Automated MRI Liver Segmentation For Accurate Quantification Of Hepatic Steatosis.

RATIONALE AND OBJECTIVES: MRI-proton density fat fraction (MRI-PDFF) is widely applied in clinical practice for hepatic fat quantification. However, t...

Enhanced MobileNet with multi-scale feature fusion for automated breast cancer histopathology classification.

Accurate and efficient diagnosis of breast cancer from histopathological images remains a major challenge in clinical practice due to subjective inter...

Physics-aware generative fusion via Complex-Flow Mamba enables robust 4D radar-vision perception.

4D imaging millimeter-wave radar is quickly redrawing the map for autonomous perception. However, a significant limitation persists: conventional deep...

An explainable multimodal 2.5D deep learning-radiomics model for predicting extranodal extension in lung adenocarcinoma using preoperative CT: a multicenter retrospective cohort study.

OBJECTIVE: This study aimed to develop the Radiomics-Assembled ENE system (RAIEm), a multimodal preoperative computed tomography (CT) radiomics model,...

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 trig...

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),...