Latest AI and machine learning research in pathology for healthcare professionals.
Osteosarcoma (OS) calls for early diagnosis to significantly improve patient survival rates. Exosome...
Tissue engineering is a promising approach to address the unmet clinical need for treating cartilage...
Preventing waterborne disease caused by bacteria is especially important in low-resource settings, w...
The Pathology Informatics Bootcamp is held annually at the Pathology Informatics Summit and provides...
BACKGROUND: Triple negative breast cancer (TNBC) is an aggressive subcategory of breast cancer with ...
The direction of anticancer therapies has changed in recent years, including the increasing use of i...
Colorectal cancer remains a major global health challenge, emphasizing the need for advanced diagnos...
Tuberculosis (TB) remains a significant global public health threat. Achieving the 2035 target for T...
The recent advances in generative models such as diffusion models have raised several risks and co...
Accurate prediction of recurrence in clear cell renal cell carcinoma (ccRCC) remains a major clini...
Segmenting curvilinear structures in fluorescence microscopy remains a challenging task, particula...
Accurate identification of clinically malignant pleural effusions is critical for cancer diagnosis a...
The rapid development of digital pathology and modern deep learning has facilitated the emergence ...
Microscopic assessment of histopathology images is vital for accurate cancer diagnosis and treatme...
Insects comprise millions of species, many experiencing severe population declines under environme...
Malware developers exploit the fact that most detection models focus on the entire binary to extra...
While pathology foundation models have transformed cancer image analysis, they often lack integrat...
Immunohistochemical (IHC) virtual staining is a task that generates virtual IHC images from H\&E i...
The acquisition of accurately coloured, balanced images in an optical microscope can be a challeng...
Foundation models (FMs) are transforming the field of computational pathology by offering new appr...
Brain lesions are abnormalities or injuries in brain tissue that are often detectable using magnet...