Latest AI and machine learning research in pathology for healthcare professionals.
Understanding whether deep neural networks are effectively optimized remains challenging, as trainin...
Artificial intelligence (AI) systems such as AlphaFold have transformed structural biology by enabli...
The HIV reservoir that establishes early upon infection and persists in tissues remains the primary ...
Lissajous confocal laser endomicroscopy (CLE) is a promising solution for high speed in vivo optical...
The visual modality of vision-language models (VLMs) is an underexplored attack surface for bypassin...
BACKGROUND: Aortic dissection (AD) is a life-threatening emergency with high mortality. Although ele...
Pathologist-guided distinctions within histology and spatial omic images provide insights into healt...
Mamba's recurrent state h_t is, by construction, a compressed summary of every token seen so far. Th...
Arterial vascular diseases, such as atherosclerosis, are among the most serious global health threat...
Antiphospholipid syndrome (APS) lacks targeted therapies beyond anticoagulation, and its molecular h...
Virtual molecular mapping systems such as MISO and GigaTIME introduce a potentially transformative p...
Background: Alcohol-induced osteonecrosis of the femoral head (AIONFH) is an orthopedic disorder fro...
Brain MRI underpins a wide range of neuroscientific and clinical applications, yet most learning-bas...
Spatial transcriptomics (ST) is a cutting-edge technology that measures gene expression while preser...
Accurate quantification of the geometry of curvilinear biological structures is essential for unders...
Accurate intraoperative assessment of glioma infiltration is essential for maximizing tumor resectio...
Melanocytes become cancerous, forming tumors that may invade and destroy the surrounding tissues. Wh...
Diffuse Large B-cell lymphoma (DLBCL) is the most common aggressive lymphoma in the Western world. F...
Digital pathology has fundamentally altered diagnostic workflows by enabling the computational analy...
In pathology, the spatial distribution and proportions of tissue types are key indicators of disease...
Pathology foundation models (PFMs) have recently emerged as powerful pretrained encoders for computa...