Pathology

Quantum Dot Encoding for In-Solution Single-Molecule Biomarker Counting in Metastatic Prostate Cancer.

Digital assays are in wide development for biomarker quantification at the single-molecule level, but the common use of surface pull-down steps limits both analytical sensitivity and throughput. Here, we develop surface-free, wash-free, in-solution assays with an analytical sensitivity slope approaching unity for sequence-specific counting of microRNAs (miRs) relevant to metastatic castration-resi...

Explainable machine learning-guided integrated multiomics analysis reveals macrophage-driven immune suppression in breast cancer.

Despite thorough characterizations of cellular compositions within the breast tumor microenvironment (TME), their implications for disease progression and patient prognosis remain poorly understood. Unraveling these effects is vital for identifying potential targets to improve treatment outcomes. In this study, we devise an explainable machine learning (XML) pipeline to scrutinize the associations...

High-fidelity super-resolution microscopy datasets spanning multispectral to hyperspectral domains via diffractive optics.

Paired datasets are critical for advancing data-driven microscopy but remain scarce for spectral imaging. Here, we present a comprehensive super-resol...

Multi expert integrated algorithm for kidney biopsy triage.

Clinical decision-making often exhibits substantial inter-physician variability when evaluating identical patient data, limiting the reliability of co...

Integrating single-cell and bulk transcriptomic analyses to explore key lactylation-related genes in benign prostatic hyperplasia.

Benign prostatic hyperplasia (BPH) is a prevalent age-related disorder characterized by chronic inflammation, metabolic dysregulation, and abnormal ce...

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, addressin...

DNA demethylation of ANXA4 is associated with atrial fibrillation risk through myeloid immune mechanisms: evidence from Mendelian randomization and multi-omics analyses.

BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia affecting millions of patients globally. While epigenetic modifications play a significant...

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, ...

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...

[Application analysis of the artificial intelligence model DeepSeek in breast cancer treatment decision-making].

Objective: To evaluate the accuracy and feasibility of applying the DeepSeek artificial intelligence model in clinical decision-making for breast canc...

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...

Machine learning identifies a NETs-related four-gene diagnostic signature for abdominal aortic aneurysm.

Abdominal aortic aneurysm (AAA) is a chronic degenerative disease characterized by localized aortic dilation and persistent inflammation. While neutro...