Latest AI and machine learning research in pathology for healthcare professionals.
Breast tissue density is an established biomarker of breast cancer risk and an important determinant of mammographic sensitivity. Density assessment is typically performed using X-ray mammography. In this study, we investigate whether breast tissue density-related information may be reflected in infrared thermal images using artificial intelligence. The underlying hypothesis is that fibroglandular...
Reliable whole-slide imaging (WSI) analysis depends on diagnostic models, but it also depends on image-quality control that can be assessed before those models are applied. High-sensitivity artifact masks may remove relevant tissue, especially in densely nucleated regions where benign histology resembles dust, folds, or preparation debris. GuardQC is a conservative preprocessing pipeline for artif...
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...
Recent advances in spatially resolved transcriptomics have enabled large-scale measurement of gene expression while preserving spatial context, facili...
BACKGROUND: Segmenting cytoskeletal filaments in microscopy images is essential for studying their roles in cellular processes such as cell division a...
Accurate classification of granulation patterns in growth hormone-secreting pituitary neuroendocrine tumors (GH-PitNETs) is clinically essential but t...
OBJECTIVE: The current BTS guidelines recommend evaluation of suspicious pulmonary nodules using [18F]FDG-PET/CT imaging, followed by Herder model ris...
OBJECTIVE: Abnormal uterine bleeding (AUB) is a primary symptom indicative of endometrial cancer (EC), yet its diagnosis still primarily relies on inv...
Liquid biopsy, analyzing circulating tumor-derived components, including ctDNA, circulating tumor cells, microRNAs, and exosomes, has emerged as a key...
Cats frequently develop myocardial remodeling, for example, hypertrophic cardiomyopathy, affecting 14.7% of domestic cats compared to 0.2% of humans, ...
BACKGROUND: The differentiation between benign and malignant persistent pulmonary ground-glass nodules (GGNs) remains challenging, and the relative va...
Thyroglobulin (Tg) is a clinically established biomarker for thyroid cancer; however, its diagnostic specificity remains limited due to confounding be...
Multiplexed and ultrasensitive identification of foodborne pathogens is crucial for food safety. However, conventional methods are limited by complex ...
BACKGROUND: A multimodal AI (MMAI) model has been validated in prostate biopsy specimens to guide treatment intensification in men receiving radiation...