Latest AI and machine learning research in pathology for healthcare professionals.
Pancreatic ductal adenocarcinoma (PDAC) is a complex disease characterized by high levels of cellular heterogeneity and pronounced microenvironmental remodelling. Dynamic changes during its initiation and progression contribute to resistance to conventional therapies. Building upon key molecular catalogues established by bulk and single-cell profiling studies that have advanced our understanding o...
BACKGROUND: The rapid advancement of digital pathology has opened unprecedented opportunities for intelligent diagnosis in renal cell tumor. However, there remains a significant gap in the availability of reliable deep learning models capable of comprehensive kidney cancer detection, classification, grading, and survival prediction. METHOD: This study retrospectively analyzed 11,135 whole-slide im...
PURPOSE: The clinical outcome of urothelial carcinoma presents significant variability, reflecting its molecular composition, epidemiologic attributes...
OBJECTIVE: To evaluate the impact of hip prosthesis-induced artifacts on the diagnostic performance of deep learning (DL)-based prostate cancer diagno...
Hepatocellular carcinoma (HCC) is the most common primary liver cancer and a leading cause of cancer-related mortality. Manual nuclear analysis in HCC...
BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...
Structural biology is undergoing a transformative era driven by advances in artificial intelligence (AI)-based protein structure prediction and cryo-e...
Volume electron microscopy (VEM) enables nanometer-resolution three-dimensional (3D) visualization of biological specimens via serial sectioning and i...
Hepatocellular carcinoma (HCC) is a biologically heterogeneous malignancy staged according to tumor burden and clinical status. Molecular and histopat...
Accurate grading of follicular lymphoma (FL) is crucial for personalized treatment, but biopsy-based histopathology is invasive and limited by observe...
Artificial intelligence (AI) has rapidly advanced in breast cancer imaging, demonstrating high diagnostic and predictive performance across imaging mo...
Glioblastoma (GBM) is an aggressive and highly lethal brain tumor. Secondary glioblastoma (sGBM), which arises through malignant progression from lowe...
BACKGROUND AND OBJECTIVES: Bone is a multicellular organ that is the site of complex pathophysiological events (such as cancer). 3D confocal and multi...
Veterinary forensic science is a specialized discipline that investigates non-natural animal deaths and injuries. Determining the cause of death in fr...
Methods: In addition to traditional testing methods, the use of PSMA-directed imaging to guide biopsy procedures using Multiparametric Magnetic Resona...
Unopposed estrogen refers to prolonged estrogenic stimulation in the absence of adequate progesterone-mediated counter-regulation. Unopposed estrogen ...
Early achievement of deep remission improves patients' outcome in chronic myeloid leukemia (CML) treatment, highlighting the need for predictive indic...
INTRODUCTION: Periapical granulomas and radicular cysts cannot be reliably differentiated by clinical examination or conventional radiography. Histopa...
AIMS: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by poor prognosis, extensive perineural invasion (PNI), ...
RATIONALE AND OBJECTIVES: To develop a multimodal ultrasound radiomics model based on conventional ultrasound and three-phase contrast-enhanced ultras...