Latest AI and machine learning research in pathology for healthcare professionals.
Ultrasound localization microscopy (ULM) enables super-resolution imaging of microvascular structures by localizing microbubbles from clutter-filtered ultrafast ultrasound data. However, conventional clutter filtering methods, particularly those based on singular value decomposition, are computationally intensive and thus impractical for real-time applications. In this study, we introduce AF-UNet,...
The use of imaging and genetic data for biomarker detection and disease diagnosis can deepen the understanding of disease pathogenesis and assist in clinical diagnosis. However, current methods face two major challenges: 1) the significant heterogeneity between multimodal data hampers modality fusion and 2) effectively exploring consistency and variability information from similar diseases for enh...
Soft-tissue tumors are rare mesenchymal neoplasms characterized by extensive morphologic and genetic heterogeneity. Advances in molecular pathology ha...
Systemic therapies for advanced hepatocellular carcinoma (HCC) have expanded considerably with the advent of tyrosine kinase inhibitors, immune checkp...
BACKGROUND: Urine cytology is a noninvasive tool for detecting urothelial carcinoma, yet its performance depends heavily on expert cytologists and tim...
The cross-sectional Master Athletic Laboratory Study of Intramuscular Connective Tissue (MALICoT, DRKS00015764) examined effects of athletic exercise ...
BACKGROUND: In Ethiopia, breast cancer patients often present with advanced-stage disease, leading to high mortality. This study aimed to quantify dia...
BACKGROUND: Esophageal cancer ranks among the most lethal malignancies worldwide, particularly prevalent in the Guangdong-Chaoshan region of China due...
Protein therapeutics offer unparalleled specificity and immediate bioactivity for addressing complex pathologies; however, their vast therapeutic pote...
INTRODUCTION/OBJECTIVE: Sanghuang, a traditional Chinese medicinal fungus, exhibits well-documented anti-inflammatory, antioxidant, and antitumor acti...
Although major advances have been made in the field of mesoscopic imaging and associated tissue clearing protocols, these applications are greatly cha...
The shortage of well-trained personnel to deliver cancer care and conduct research remains a major obstacle to reducing disparities in cancer survival...
Chronic kidney disease (CKD) in children is a rare but serious condition characterized by progressive renal dysfunction and a range of systemic compli...
Accurate identification of renal cell types within tissue architecture is fundamental for understanding normal kidney physiology and detecting early p...
Leukemia, a life-threatening hematological malignancy, necessitates early and accurate diagnosis for effective treatment. Traditional microscopic exam...
The combination of machine learning and liquid biopsy is rapidly promoting the development of precision cancer diagnosis. Extracellular vesicles and p...
Hypoxia is a hallmark of oral squamous cell carcinoma (OSCC) and plays a critical role in driving tumor progression. However, the mechanisms by which ...
Artificial intelligence (AI) is reshaping cancer research and clinical oncology by enabling large-scale analysis of complex biomedical data. Although ...
Glioma is a primary tumor derived from central nervous system glial cells. RNA binding motif protein 25 (RBM25) has been implicated in glioma progress...
Dysregulated lipid metabolism drives atherosclerosis (AS). Yacon, an Andean lipid-modulating tuber, exerts anti-AS potential, but mechanisms remain un...