Latest AI and machine learning research in pathology for healthcare professionals.
Head and neck squamous cell carcinoma (HNSCC) has one of the highest rates of recurrence cases amo...
Understanding and manipulating bioelectric signaling could present a new wave of progress in devel...
In Recent Years, Digital Technologies Have Made Significant Strides In Augmenting-Human-Health, Co...
Accurate, noninvasive glioma characterization is crucial for effective clinical management. Tradit...
To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in ce...
The deployment of computer-aided diagnosis systems for cervical cancer screening using whole slide...
In histopathology, intelligent diagnosis of Whole Slide Images (WSIs) is essential for automating ...
Deep learning has demonstrated great promise in cancer classification from whole-slide images (WSI...
This study presents a 3D flow-matching model designed to predict the progression of the frozen reg...
Tumor segmentation plays a critical role in histopathology, but it requires costly, fine-grained i...
4D Flow MRI is the state of the art technique for measuring blood flow, and it provides valuable i...
Histopathology image analysis is fundamental to digital pathology, with hematoxylin and eosin (H&E...
Three-dimensional biological microscopy has significantly advanced our understanding of complex bi...
Circulating tumor cells (CTCs) are crucial biomarkers in liquid biopsy, offering a noninvasive too...
Nucleus detection in histopathology whole slide images (WSIs) is crucial for a broad spectrum of c...
Molecular subtyping of breast cancer is crucial for personalized treatment and prognosis. Traditio...
Minimally invasive procedures have been advanced rapidly by the robotic laparoscopic surgery. The ...
Accurate cancer prognosis is essential for personalized clinical management, guiding treatment strat...
Spatial transcriptomics (ST) measures gene expression at fine-grained spatial resolution, offering...
Malignant lymphoma subtype classification directly impacts treatment strategies and patient outcom...
Foundation Models (FMs) in computational pathology (CPath) have significantly advanced the extract...