Pathology

Artificial intelligence for oral cancer diagnosis: a systematic review and meta-analysis of image-based and non-imaging models.

BACKGROUND: Artificial intelligence (AI) is increasingly recognized as a valuable tool for the early detection and prognosis of oral cancer, addressing the challenge of high mortality due to late diagnosis. Artificial intelligence based diagnostic models have the potential to improve accuracy in differentiating between malignant, premalignant and benign oral lesions. This systematic review and met...

Endurance exercise remodels pulmonary vein sleeve myocytes and promotes a proarrhythmic atrial substrate.

BACKGROUND AND AIMS: The risk of atrial fibrillation (AF) is higher in endurance athletes. Pulmonary vein isolation (PVI) is effective in this group, implicating pulmonary vein (PV) remodelling, but underlying mechanisms are unclear. This study investigated if endurance training remodels PV sleeves and the PV-left atrial (LA) junction to promote PV triggers and a permissive peri-antral substrate f...

Nuclear DNA-Gated Electrochemiluminescence Microscopy with Deep Learning for Single-Cell Apoptosis Profiling.

Accurately assessing how individual cells respond to anticancer agents remains challenging because most assays provide bulk or binary readouts and can...

Neural network-based tissue attenuation correction in dual-band cherenkov imaging for dose distribution verification.

PURPOSE: This study aims to address the attenuation of Cherenkov signals caused by tissue heterogeneity in Cherenkov imaging and to improve the accura...

Artematrolide F suppresses communication between hepatocellular carcinoma cells and hepatic stellate cells to attenuate liver cancer progression through targeting YKT6.

Hepatocellular carcinoma (HCC) remains a highly malignant cancer with limited treatment options. HCC cells (HCCs) activate hepatic stellate cells (HSC...

Identification and Validation of Glycosylation-Related Biomarkers in the Hippocampus for Alzheimer's Disease Diagnosis and Drug Repurposing.

As a crucial type of post-translational modification, glycosylation plays a fundamental role in maintaining cellular homeostasis and is closely associ...

Computational Advances in Biomaterial Engineering: Mapping Research Trajectories Through Bibliometric Analysis.

Alternatives to animal models, including computational-based approaches, are now prioritized by regulatory and funding agencies in biomedical research...

Liquid Biopsy in Modern Oncology: Advances, Challenges, and Future Perspectives in Early Cancer Detection, Minimal Residual Disease, and Dynamic Patient Monitoring.

PURPOSE OF REVIEW: Liquid biopsy has emerged as a minimally invasive approach to overcome the limitations of tissue biopsy in oncology. This review ai...

An interpretable 1⁸F-PSMA PET/CT-MRI model for optimizing prostate biopsy decisions.

PURPOSE: Distinguishing indolent from clinically significant prostate cancer (csPCa) in biopsy-naïve men remains a diagnostic challenge, often leading...

AI-assisted radiomics for classification of benign and non-benign right heart masses in 2D-echocardiography.

BACKGROUND: The rarity of right heart masses challenges diagnostic proficiency, while reproducibility is affected by the echocardiography operator. Ar...

Integrated multi-stage screening assisted discovery and optimization of spirooxindole MDM2 inhibitors.

The rational design of novel MDM2 inhibitors with superior biochemical properties represents the most consequential outcome of contemporary computer-a...

Machine learning identification of maternal inflammatory response and systemic inflammatory response from placental membrane whole slide images.

INTRODUCTION: The placenta forms a critical barrier to infection through pregnancy, labor and, delivery. Acute placental inflammation in the membranes...

Advances in laboratory diagnostic studies of pheochromocytoma and paraganglioma.

Pheochromocytoma (PCC) and paraganglioma (PGL), collectively referred to as pheochromocytomas and paragangliomas (PPGLs), are rare neuroendocrine tumo...

Electroactive Nanomaterials in Tissue Engineering: Advances, Mechanisms and Future Perspectives.

Simulation of the dynamic electromechanical microenvironment is of great significance in tissue engineering, especially in the regeneration of those e...

Identification of replication factor C subunit 4 as a potential therapeutic target in esophageal squamous cell carcinoma based on bioinformatic analysis and machine learning.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is one of the highly lethal and aggressive malignant tumors worldwide. To effectively prevent an...

3D Registration-Guided Deformable Residual Inpainting for ssEM Restoration.

MOTIVATION: Serial section Electron Microscopy (ssEM) is essential for studying biological cell structures at nanometer resolution. However, Supportin...

Non-invasive predictive model for incidental gallbladder carcinoma based on multimodal features: Integrating clinical data, MRI radiomics, and deep transfer learning features.

Gallbladder carcinoma, among the most prevalent malignancies of the biliary system, often presents with insidious early symptoms. Delayed diagnosis of...

Preoperative Risk Assessment of Adrenal Metastases in a Multicenter Study: Development of a Robust Federated Learning Model.

RATIONALE AND OBJECTIVES: In clinical practice, the preoperative risk assessment of adrenal metastases versus benign adrenal lesions carries a substan...

AI-Driven Detection and Classification of Voice Disorders Using Acoustic Recordings.

OBJECTIVES: To develop and evaluate artificial intelligence (AI) models for detecting and classifying voice disorders using acoustic recordings, aimin...

An evaluation of artificial intelligence assisted prostate biopsy reporting in the Articulate Pro study.

Prospective evidence on clinical utility of AI in histopathology is limited. We conducted a prospective study across three National Health Service spe...