Latest AI and machine learning research in pathology for healthcare professionals.
Alzheimer's disease (AD) presents considerable heterogeneity in disease risk and outcomes, posing a major challenge for effective therapeutic development. Recent advances in multi-omics profiling are revolutionizing our understanding of the complex AD pathogenesis. Leveraging long-read sequencing and large-scale multi-ancestry genetic studies, researchers are unraveling the complex polygenic archi...
Visualizing genome organization and transcriptional dynamics with spatial and temporal precision in living cells is essential for elucidating gene regulation and chromatin-associated disease mechanisms, yet conventional methods confront a fundamental tension between endogenous-sequence targeting and live-cell compatibility. Operator-repressor systems require prior insertion of repetitive arrays at...
INTRODUCTION: Artificial intelligence (AI) and digital pathology have the potential to augment liver biopsy interpretation in MAFLD in clinical practi...
To develop and evaluate MultiDentNet, a unified deep learning framework for multi-class dental condition screening and preliminary risk stratification...
Tissue detection is a crucial first step in most digital pathology applications. By applying image segmentation algorithms, all tissue is delineated a...
The differentiation of species within the genus Geastrum remains a challenging task due to the strong morphological similarity among taxa and the limi...
Genotype-tissue expression profiles are critical for understanding how genetic variation influences gene regulation across tissues, yet they are often...
BACKGROUND: Diabetic foot ulcers (DFUs) represent a severe chronic complication of diabetes and are characterized by persistent impairment of wound he...
BACKGROUND: Both in clinical practice and translational research, cell differentiation of leukocytes provides important diagnostic information and ins...
BACKGROUND: The prognosis for patients with glioblastoma (GBM) remains extremely poor, a challenge largely attributable to the complex nature of its m...
OBJECTIVES: As the use of intraoral scanners becomes routine in digital dentistry, digitally recorded palatal anatomy may become a potential adjunctiv...
The Foot-and-mouth disease virus (FMDV) is a highly contagious pathogen affecting cloven-hoofed animals. Its major structural protein, VP1, serves as ...
Degenerative diseases of the lumbar spine are a common cause of chronic low back pain and neurological dysfunction. Their pathological basis involves ...
BACKGROUND: Nasopharyngeal carcinoma (NPC) is partially driven by epithelial-mesenchymal transition (EMT). We identified potential EMT-related biomark...
Accurate pathology diagnosis has remained the most essential factor in providing optimal breast cancer care across the globe. Core needle biopsies acc...
Skin cancer is a potentially fatal disease that requires early and accurate diagnosis to improve patient outcomes. Deep learning has shown promise in ...
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal forms of cancer, with a five-year survival rate below 10% primarily due to late...
BACKGROUND AND AIMS: Atherosclerosis results from cellular and extracellular changes in the arterial wall, preceded by molecular shifts that initiate ...
Rare tumor diseases are difficult to diagnose and there is a lack of routine diagnostic procedures. Approaches must be found that allow comprehensive ...
Recent advances in deep learning have significantly improved the accuracy and efficiency of disease classification in digital pathology. Early diagnos...