Latest AI and machine learning research in pathology for healthcare professionals.
4D imaging millimeter-wave radar is quickly redrawing the map for autonomous perception. However, a ...
OBJECTIVE: This study aimed to develop the Radiomics-Assembled ENE system (RAIEm), a multimodal preo...
Deep learning has shown remarkable promise in histopathological cancer diagnostics; however, its per...
The interaction between proteins and metal ions plays a pivotal role in the pathogenesis of various ...
Controlling the balance between structural integration and functional maturation of microtissues rem...
Organic-inorganic hybrid perovskites combine strong optical absorption, long carrier lifetimes, and ...
Ligand binding to membrane proteins initiates signaling and enables therapeutic intervention, positi...
ConspectusScanning probe microscopy offers a powerful suite of techniques for investigating meso-, m...
BACKGROUND: IgA nephropathy (IgAN) has diverse clinical presentations and responses to treatment. Fo...
Despite remarkable advances in transplant pathology, molecular diagnostics, imaging, and biomarker d...
Cell free RNA (cfRNA) based liquid biopsy is pushing noninvasive diagnostics forward, moving the fie...
RATIONALE AND OBJECTIVES: To determine whether an FDA-approved artificial intelligence computer-aide...
Psychiatric, neurodevelopmental, and neurodegenerative disorders, including Alzheimer's disease (AD)...
Rock thin section segmentation serves as a critical technical pillar for reservoir characterization ...
Accurate organ weight determination is essential in forensic autopsy. Postmortem computed tomography...
Lung adenocarcinoma (LUAD) is the most common histological subtype of malignant lung tumors, charact...
Cardiovascular diseases remain as a leading cause of mortality and morbidity worldwide, with coronar...
Acute lymphoblastic leukaemia (ALL), a common form of cancer, remains a life-threatening condition t...
Whole Slide Images are central to modern pathology and computational histopathology. However, tissue...
BACKGROUND: Lung adenocarcinoma (LUAD) is a highly prevalent and lethal form of lung cancer. Brain m...
BACKGROUND: The present study aimed to determine the accuracy of machine learning in predicting soft...