Latest AI and machine learning research in pathology for healthcare professionals.
Deep learning has advanced computational pathology but expert annotations remain scarce. Few-shot ...
Triple-negative breast cancer (TNBC) is an aggressive subtype defined by the lack of estrogen rece...
The ThinPrep Cytologic Test (TCT) is the most widely used method for cervical cancer screening, an...
Polygonati Rhizoma, a traditional Chinese medicine, has demonstrated immunomodulatory and anticancer...
: Upper tract urothelial carcinoma (UTUC) is one of the most underdiagnosed but, at the same time, o...
Breast cancer represents a significant global health challenge, which makes it essential to detect b...
The detection of small extracellular vesicles (sEVs) is currently a pivotal liquid biopsy approach f...
Accurately registering breast MR images from different time points enables the alignment of anatom...
The back-focal plane (BFP) of a high-numerical aperture objective contains the fluoro-phore radiat...
This article explores the use of artificial intelligence for the diagnosis of pathologies of the t...
Machine learning-based interatomic potentials and force fields depend critically on accurate atomi...
Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...
Recent advances in artificial intelligence, particularly large language models LLMs, have shown pr...
Artificial intelligence (AI) is becoming an integral part of pathological assessment and diagnostic ...
Recent advancements in Digital Pathology (DP), particularly through artificial intelligence and Fo...
The increasing deployment of Large Vision-Language Models (LVLMs) raises safety concerns under pot...
OBJECTIVE: The highly specialized language used in prostate biopsy pathology reports coupled with lo...
Comprehensive assessment of the various aspects of the brain's microstructure requires the use of ...
Concept erasing has recently emerged as an effective paradigm to prevent text-to-image diffusion m...
Accurate segmentation of regions of interest in biomedical images holds substantial value in image...
The field of gastroenterology has experienced revolutionary advances over the past years, as flexibl...