Latest AI and machine learning research in pathology for healthcare professionals.
UNLABELLED: Accurate prediction of epidermal growth factor receptor (EGFR) mutations is essential for guiding targeted therapy in non-small cell lung cancer (NSCLC) and is routinely performed in clinical pathology samples. Current diagnostic practices rely on molecular techniques such as PCR-based assays and next-generation sequencing, which are often costly, time-consuming, and destructive to tis...
PURPOSE: Current hepatocellular carcinoma (HCC) surveillance guidelines rely on manually defined LI-RADS (Liver Imaging Reporting and Data System) features rather than imaging data analysis. This study evaluates the feasibility of machine-learning (ML)-based image analysis frameworks to identify and localize hepatic parenchyma at elevated risk for HCC. METHODS: In this retrospective study, cirrhot...
PURPOSE: Muscle-invasive bladder cancer (MIBC) remains biologically heterogeneous, and clinicopathological variables do not fully capture epithelial-s...
INTRODUCTION: Clear cell renal cell carcinoma (ccRCC) exhibits substantial heterogeneity within its tumor microenvironment, contributing to variable c...
A malignant disorder known as breast cancer (BC) arises when cells in breast tissue grow out of control, frequently due to genetic, hormonal, or envir...
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is frequently diagnosed at advanced stages, when outcomes are poor. Biomarkers for HNSCC det...
Solid organ transplantation has revolutionized the treatment of end-stage diseases, yet long-term graft survival remains constrained by immune-mediate...
RATIONALE AND OBJECTIVES: To systematically evaluate the diagnostic performance of machine learning (ML) models for predicting Ki-67 expression in ren...
Examination of high-resolution whole-slide images requires an analysis of the histopathological images, which is essential in the precise diagnosis of...
BACKGROUND: Systemic autoimmune rheumatic diseases (SARDs) are a heterogeneous group of autoimmune conditions characterized by immune system dysregula...
The purpose of this study is to develop and validate a multimodal, multitask prediction framework for clear cell renal cell carcinoma (ccRCC) by integ...
Breast tissue density is an established biomarker of breast cancer risk and an important determinant of mammographic sensitivity. Density assessment i...
Reliable whole-slide imaging (WSI) analysis depends on diagnostic models, but it also depends on image-quality control that can be assessed before tho...
Oral potentially malignant disorders (OPMDs) such as leukoplakia and erythroplakia may harbor dysplasia or progress to oral squamous cell carcinoma (O...
BACKGROUND: Neoadjuvant chemotherapy (NACT) is an established treatment strategy for advanced epithelial ovarian cancer, particularly for patients wit...
Nuclear mechanical properties influence transcription and cell signaling. Atomic Force Microscopy (AFM) provides high-resolution topography and mechan...
BACKGROUND: Mast cell and nucleotide metabolism(NM) encodes the Stomach adenocarcinoma (STAD) progression and tumor immune microenvironment(TME) heter...
This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis and Treatment of Hospital-Acquired Pneumonia and V...
Comprehensive genomic profiling (CGP) is widely used to identify actionable alterations and guide precision oncology, yet only a minority of tested pa...
The integration of artificial intelligence (AI) with digital holographic microscopy (DHM) is transforming optical methods for particle detection and c...