Latest AI and machine learning research in pathology for healthcare professionals.
Optimizing murine models for studying Metabolic Dysfunction-Associated Steatohepatitis (MASH) and fibrosis is crucial for understanding disease mechanisms and evaluating therapies. In this study, we characterized diet-induced male murine models of MASH and liver fibrosis using an AI-digital pathology (DP) pipeline for zone-specific analysis and spatial (co)-localization of key MASH features within...
BACKGROUND: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy with poor prognosis. Differently from B-cell precursor ALL, T-ALL lacks effective risk stratification strategies. A recent study has integrated whole genome and whole transcriptome data to define 17 distinct molecular subtypes with prognostic significance. However, clinical translation of t...
BACKGROUND: The study assessed the role of CT-based breast tissue composition in predicting toxicities after moderately hypofractionated whole-breast ...
Lung cancer (LC) is a malignant tumor that poses a serious threat to human health. Positron emission tomography/computed tomography (PET/CT) imaging, ...
Inflammatory orbital diseases are characterized by inflammation that may involve any structure of the orbit including lacrimal gland, and may represen...
Breast cancer classification has undergone significant evolution; however, the long-standing binary model distinguishing HER2-positive from HER2-negat...
Histological analysis is essential for understanding disease pathology and the microenvironment, particularly in Alzheimer's disease (AD), characteriz...
BACKGROUND: Neoadjuvant therapy (NAT) is crucial for locally advanced breast cancer, but post-NAT lymph node assessment is challenging due to histolog...
BACKGROUND: Artificial intelligence-powered chatbots, whose use is becoming increasingly widespread, are frequently used in medicine and dentistry for...
Understanding the stability of bulk nanobubbles, especially how electrolyte ions influence their coarsening dynamics, holds significant importance for...
The quantitative analysis of tissue deformation at cellular resolution remains an important challenge in mammalian organogenesis. Here, we developed a...
Transurethral resection of the prostate (TURP) specimens represent a low-prevalence, high-volume diagnostic task in which pathologists must identify r...
PURPOSE: This study aims to evaluate the effectiveness of deep learning AI model in the diagnosis and grading of mucoepidermoid carcinoma. METHODS: We...
Proteins with intrinsically disordered regions (IDRs) perform essential cellular functions despite lacking stable structures, challenging the traditio...
BACKGROUND: Endometriosis is a chronic, estrogen-dependent inflammatory disorder characterized by the ectopic implantation of endometrial-like tissue....
Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertension and proteinuria after 20 weeks of gestation, whi...
The quest to mitigate the critical challenges in the global energy landscape and carbon emission crisis and promote sustainable energy practices calls...
Robotic-assisted prostate biopsy is now a key approach for early, accurate prostate cancer detection. The swift expansion and diversification of studi...
BACKGROUND: This study aimed to evaluate the predictive model based on multi-dual-energy computed tomography (DECT) imaging parameters and model integ...
BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotactic radiosurgery (SRS) has become a mainstay of mana...