Pathology

Integrated multi-omics data and machine learning approaches to decipher the molecular network and gene signatures of renal cell carcinoma induced by aristolochic acid.

OBJECTIVE: This study aims to delineate the molecular mechanisms through which aristolochic acid (AA) exposure drives renal cell carcinoma (RCC) pathogenesis, leveraging an integrated machine learning (ML) and multi-omics approach to systematically identify and validate key targets linking AA to RCC development. METHODS: By conducting differential expression analysis on multiple relevant datasets,...

An AI framework for automated quality control of paraffin block and slide consistency: a clinical evaluation and human-machine comparison study.

Consistency between paraffin blocks and corresponding histological slides is a key component of pathological quality control. In routine practice, verification is still largely based on manual visual comparison, which is both time-consuming and susceptible to human error. This study aims to develop a deep learning-based automated verification framework for reliable morphological matching between p...

Integrating transcriptomics, network pharmacology, and GraphBAN neural networks to identify biomarkers and regulatory mechanisms of classical traditional Chinese medicine formulations in ulcerative colitis.

Ulcerative colitis (UC) poses substantial therapeutic challenges with limited treatment options. Although traditional Chinese medicine (TCM) shows cli...

Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole.

Distinguishing histological subtypes of early pregnancy loss is crucial for clinical practice. Current gold standards combining pathological and molec...

[Bottlenecks and breakthroughs in gastric cancer diagnosis and treatment: Towards a new era of precision and intelligent integration].

Gastric cancer constitutes a significant global health burden, and its clinical management is undergoing a critical transition from a traditional expe...

[Practice and reflection on sentinel lymph node navigation surgery for early gastric cancer].

With the continuous update and iteration of minimally invasive techniques, artificial intelligence and big data, the surgical treatment of early gastr...

[Current status and future perspectives of precision treatment for locally advanced rectal cancer].

The treatment paradigm for locally advanced rectal cancer is undergoing a fundamental transformation from the traditional fixed triad of "radiotherapy...

[Research progress in clinical pathology and molecular mechanisms of pancreatic adenosquamous carcinoma].

Pancreatic adenosquamous carcinoma (PASC) is a rare exocrine malignancy of the pancreas with an increasing incidence, histologically defined by the co...

Uncertainty-aware AI for tumor subtyping with histology and immunohistochemistry: A multi-center study in Renal Cell Carcinoma.

BACKGROUND AND OBJECTIVE: Accurate classification of Renal Cell Carcinoma (RCC) subtypes is essential for personalized therapy, as prognostic outcomes...

Multiparametric AI-based perfusion analysis outperforms Tmax thresholding for critically hypoperfused tissue estimation in acute ischemic stroke undergoing admission MRI.

OBJECTIVE: Perfusion imaging is used to estimate critically hypoperfused tissue in acute ischemic stroke (AIS), commonly using threshold-based methods...

How good are artificial intelligence tools at identifying benign skin lesions? A systematic review and meta-analysis of the specificity of artificial intelligence tools in diagnosing suspicious skin lesions.

BACKGROUND: Artificial intelligence (AI) is a transformative diagnostic tool in dermatology. As the prevalence of skin cancer rises and pressure on he...

Incorporating artificial intelligence into morphological diagnosis of acute leukemias: Current landscape, challenges and prospects (Review).

Acute leukemias (ALs) are a diverse group of hematological malignancies characterized by the abnormal proliferation of immature cells. Microscopic obs...

Macrophage polarization as a therapeutic target in lung diseases: From pathogenesis to precision intervention.

Macrophages serve as core effector cells of the innate immune system, exerting dual regulatory roles in pulmonary homeostasis maintenance and disease ...

Combined multi-omics and multi-spectral profiling of plasma extracellular vesicles reveals liquid biopsy biomarkers for glioma diagnosis.

Plasma small extracellular vesicles (sEVs) are a promising liquid biopsy tool. This study aims to delineate and validate a multimodal plasma sEV bioma...

Reconstruction of emergence profile using a digital mirroring technique in a custom biological definitive abutment and interim restoration in immediate implant placement in esthetic area: A clinical report with 4-year follow-up.

Immediate implant placement and interim restoration in the anterior maxilla remains challenging because of the high esthetic demands and the risk of s...

Application of an open-source AI tool for quantitative quality control in whole slide images of prostate needle core biopsies - a retrospective study.

The quality of Whole Slide Images (WSI) is a determining factor for proper diagnosis and prognosis, and for enhanced performance of Digital and Comput...

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sperm DNA fragmentation index (DFI) may detect latent ...

The SPECT/CT radiomics-based classification of skeletal metastases and benign bone lesions.

Hybrid Single Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) improves lesion localization and diagnostic accuracy in detecting ske...

A pyroptosis-related gene signature for the diagnosis of acute pancreatitis.

Acute pancreatitis (AP) is a severe inflammatory disorder in which pyroptosis-a pro-inflammatory form of programmed cell death-may contribute to patho...

Transformer-based multi-agent traffic simulation for autonomous vehicle testing in shared urban road segments.

Microscopic traffic simulation plays a crucial role in the development and testing of autonomous driving systems. However, accurately reproducing traf...