Latest AI and machine learning research in pathology for healthcare professionals.
Current computational approaches to prostate cancer diagnosis rely on either linear causal models that cannot handle the nonlinear dependencies among imaging, genomic, and clinical variables, or on deep learning methods that demand exhaustive expert annotation and lack mechanisms for counterfactual reasoning. This work introduces ProCausal-WS, a weakly supervised causal representation learning fra...
Hepatocellular carcinoma (HCC) exhibits marked sexual dimorphism, with females demonstrating superior survival, yet the underlying molecular mechanisms remain unclear. We integrated bulk transcriptomics (GSE39791, TCGA-LIHC, GSE14520) and single-cell RNA sequencing (five datasets, n = 58 patients, 238,982 cells) with machine learning (LASSO, SVM, random forest) to identify female-protective genes ...
In histopathology, cell detection and segmentation of Hematoxylin and Eosin (H&E) stained tissue images are essential clinical tasks. Existing methods...
Characterizing gene expression and regulatory dynamics underlying both normal tissue function and disease progression requires an integrative analysis...
Tissue motions within body segments, such as the relative movements of muscles, fascia, and bone, remain largely unexplored despite their relevance to...
OBJECTIVES: Chronic Rhinosinusitis with Nasal Polyps (CRSwNP) is a common and severe subtype of Chronic Rhinosinusitis (CRS), characterized by persist...
Tissue regeneration is a complex, multi-phase process orchestrated by dynamic changes in protein expression and post-translational modifications (PTMs...
BACKGROUND: Over the past decade, machine learning (ML) has transformed histopathology, yet its application in lupus nephritis (LN) remains underexplo...
BACKGROUND: The World Health Organization (WHO) has emphasised the need for innovative diagnostic tools to support the control and elimination of negl...
INTRODUCTION: The identification of non-diabetic kidney disease (NDKD) in diabetic patients is critically important. Unlike diabetic nephropathy, NDKD...
BACKGROUND: The tumour-stroma ratio (TSR) is a potential prognostic indicator, yet hindered by quantification challenges and conflicting reports. OBJE...
Diabetic kidney disease (DKD), characterized by progressive renal dysfunction, is a prevalent microvascular complication of diabetes mellitus and a le...
Quantifying mammary gland tissue composition is crucial for understanding growth patterns and future lactation potential in dairy heifers, yet convent...
BACKGROUND AND OBJECTIVE: Colorectal cancer is the second leading cause of cancer-related mortality worldwide, posing a substantial burden on healthca...
BACKGROUND AND OBJECTIVE: Vascular proliferation is a common skin reaction following eyelid surgery, and early diagnosis is crucial for improving trea...
Approximately 30-50% of Papillary thyroid carcinoma (PTC) patients develop cervical lymph nodes (LNs) metastasis, significantly increasing the risk of...
With increasing interest in studying biological systems across spatial scales-from centimeters down to nanometers-histology continues to be the gold s...
The growing importance of machine learning in geological data computing, as well as in the broader geoscience and energy sectors, makes it essential t...
Sphenoid sinus fluid is considered a supportive indicator of drowning in forensic medicine, but traditional manual assessment on postmortem computed t...
Benign Prostatic Hyperplasia (BPH) is a common condition among aging men that often causes significant urinary symptoms, impacting their quality of li...