Latest AI and machine learning research in pathology for healthcare professionals.
Spatial Transcriptomics (ST) provides spatially-resolved gene expression, offering crucial insights ...
Purpose: The integration of multimodal imaging into operating rooms paves the way for comprehensive ...
Accurate biodiversity identification from large-scale field data is a foundational problem with dire...
The widespread adoption of CT has notably increased the number of detected lung nodules. However, cu...
We present an innovative, cost-effective framework integrating laboratory Hyperspectral Imaging (HSI...
Automated detection and classification of cervical cells in conventional Pap smear images can streng...
Tabular data are central to biomedical research, from liquid biopsy and bulk and single-cell transcr...
While spatial transcriptomics (ST) has advanced our understanding of gene expression in tissue conte...
Though self-supervised learning (SSL) has demonstrated incredible ability to learn robust representa...
Cancer data standardization requires converting unstructured pathology reports into structured regis...
Optical coherence tomography (OCT) is a non-invasive volumetric imaging modality with high spatial a...
Text-to-Image (T2I) diffusion models have demonstrated strong generation ability, but their potentia...
The deployment of vision-language models (VLMs) in dermatology is hindered by the trilemma of high c...
Accurate delineation of individual cells in microscopy videos is essential for studying cellular dyn...
Spatial transcriptomics (ST) enables spot-level in situ expression profiling, but its high cost and ...
Deep learning underlies most modern approaches and tools in computer vision, including biomedical im...
Whole slide image (WSI) analysis heavily relies on multiple instance learning (MIL). While recent me...
Pathology reports are structured, multi-granular documents encoding diagnostic conclusions, histolog...
Recent advancements in histopathology foundation models (FMs) have largely been driven by scaling th...
Regional lymph node (LN) metastasis critically influences distant metastatic progression, anti-tumou...
AI-powered pathology foundation models provide general-purpose representations of histopathological ...