Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization.

Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenes...

Machine learning molecular dynamics reveals atomistic mechanisms of ion beam damage in calcium fluoride.

Calcium fluoride (CaF) crystals are regarded as ideal materials for optical components due to their ...

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides.

Digital pathology enables automatic analysis of histopathological sections using artificial intellig...

Screening for endometriosis: A scoping review of screening measures that could support early diagnosis.

BACKGROUND: Endometriosis is prevalent in approximately 6-10% of all women of reproductive age and i...

Multi-tissue Methylation Analysis of Alzheimer's Disease: Insights into Pathways, Modules, and Key Genes.

DNA methylation plays a crucial role in the onset and progression of Alzheimer's disease (AD). Genom...

Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry.

Microscopic-Diffraction Imaging Flow Cytometry (MDIFC) is a high-throughput, stain-free technology t...

Deep multi-task learning framework for gastrointestinal lesion-aided diagnosis and severity estimation.

Accurate diagnosis and severity estimation of gastrointestinal tract (GT) lesions are crucial for pa...

New hybrid features extracted from US images for breast cancer classification.

Artificial intelligence (AI), and image processing fields play a vital role in classifying benign an...

Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.

Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic cha...

Characterising corneal changes in aniridia-related keratopathy using in vivo confocal microscopy and a self-supervised AI model.

PURPOSE: To investigate whether corneal changes observed via in vivo confocal microscopy (IVCM) in p...

Liquid Biopsy-Based Smart Sensors for Ovarian Cancer Detection.

Ovarian cancer is one of the most aggressive gynecologic malignancies, with a vast majority of patie...

A Device for Computer Vision Analysis of Fungal Features Outperforms Quantitative Manual Microscopy by Experts in Discerning a Host Resistance Locus.

Accurate, quantitative phenotyping aids in the discovery of quantitative trait loci, particularly th...

Collaborative Internal Cavity Effect and Interfacial Modulation Mechanism for Boosting Deep Learning-Powered Immunochromatographic Pathogen Detection.

Nanoenabled immunochromatographic assay (ICA) emerges as a powerful tool for pathogen diagnosis, yet...

Deep Learning for Osteoporosis Diagnosis Using Magnetic Resonance Images of Lumbar Vertebrae.

This work uses T1, STIR, and T2 MRI sequences of the lumbar vertebrae and BMD measurements to identi...

AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images.

Breast cancer patients exhibit variable responses to neoadjuvant therapy (NAT), necessitating robust...

Poincare guided geometric UNet for left atrial epicardial adipose tissue segmentation in Dixon MRI images.

Epicardial Adipose Tissue (EAT) is a recognized risk factor for cardiovascular diseases and plays a ...

Decision level scheme for fusing multiomics and histology slide images using deep neural network for tumor prognosis prediction.

Molecular biostatistical workflows in oncology often rely on predictive models that use multimodal d...

Early neoplastic lesions of the pancreas: initiation, progression, and opportunities for precancer interception.

Pancreatic ductal adenocarcinoma (PDAC) is known to progress from one of two main precursor lesions:...

Exploring novel molecular mechanisms underlying recurrent pregnancy loss in decidual tissues.

Recurrent pregnancy loss (RPL), which affects approximately 2.5% of reproductive-aged women, remains...

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