Latest AI and machine learning research in pathology for healthcare professionals.
The ability to estimate invertebrate biomass using only images could help scaling up quantitative bi...
Thyroid carcinoma is one of the most prevalent endocrine malignancies worldwide, and accurate preope...
Drug-induced liver injury (DILI) is an acute inflammatory liver disease caused not only by prescript...
Optical, ultrasound, and optoacoustic localization microscopy based on microparticle tracking has en...
Spatially resolved omics technologies reveal tissue organization at single-cell resolution but remai...
Primary health care frequently relies on low-cost imaging devices, which are commonly used for scree...
Histopathology image synthesis plays an important role in tissue restoration, data augmentation, and...
Clear cell renal cell carcinoma (ccRCC) is the leading cause of kidney cancer-related death, but how...
Tumour typing from whole-genome sequencing is increasingly accurate, yet molecular subtyping from so...
Accurate brain tumor typing requires integrating heterogeneous clinical evidence, including magnetic...
Whole-slide images (WSIs) are fundamental for computational pathology, where accurate lesion segment...
Pathology Foundation Models (FMs) have shown strong performance across a wide range of pathology ima...
Vision-Language Models (VLMs) with their multimodal capabilities have demonstrated remarkable succes...
Quantitative assessment of brain histology is often constrained by predefined feature sets and labor...
Recent advances in large-scale self-supervised learning have led to the emergence of foundation mode...
How intelligence emerges from the brain's complex microscopic physical system is a central question ...
Background: N4-acetylcytidine (ac4C) modification plays a critical role in cancer development. Explo...
Electron microscopy (EM) and advanced volume EM have extensive applications in deciphering cellular ...
The pathological diagnosis of gestational trophoblastic disease(GTD) takes a long time, relies heavi...
Glomerular pathology is central to the diagnosis and prognosis of renal diseases, yet the heterogene...
Generalist pathology foundation models (PFMs), pretrained on large-scale multi-organ datasets, have ...