Latest AI and machine learning research in pathology for healthcare professionals.
Background: Tumor vasculature is a key driver of glioma progression, yet routine quantification depe...
Estimating slide- and patch-level gene expression profiles from pathology images enables rapid and l...
In digital pathology, whole-slide images routinely exceed gigapixel resolution, making computational...
Whole slide imaging (WSI) has transformed digital pathology by enabling computational analysis of gi...
Computational pathology has made significant progress in recent years, fueling advances in both fund...
Foundation models enable knowledge transfer across data modalities and tasks, yet foundation models ...
Spatial transcriptomic (ST) technologies enable the measurement of gene expression directly within t...
Large vision-language models (VLMs) often exhibit weakened safety alignment with the integration of ...
Cell segmentation is a fundamental task in microscopy image analysis. Several foundation models for ...
Recent advances in multimodal learning have significantly improved cancer survival risk prediction. ...
Background: Diffusion MRI (dMRI) is widely used to assess microstructural abnormalities in multiple ...
Cerebral amyloid angiopathy (CAA) commonly co-occurs with Alzheimer's disease (AD), yet the molecula...
Multiplex immunofluorescence (mIF) enables simultaneous single-cell quantification of multiple bioma...
Despite recent advances in deep generative modeling, skin lesion classification systems remain const...
Recent advances in multimodal learning have significantly improved cancer survival risk prediction. ...
Spatial transcriptomics (ST) enables the measurement of gene expression in its native spatial contex...
Histopathology foundation models (HFMs), pretrained on large-scale cancer datasets, have advanced co...
Accurate prediction of biochemical recurrence (BCR) after radical prostatectomy is critical for guid...
Publicly available full-field digital mammography (FFDM) datasets remain limited in size, clinical l...
Virtual immunohistochemistry (IHC) staining from hematoxylin and eosin (H&E) images can accelerate d...
History-dependent constitutive models serve as macroscopic closures for the aggregated effects of mi...