Latest AI and machine learning research in pathology for healthcare professionals.
Spatial biology provides high-content diagnostic information by mapping the molecular composition of...
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. Ho...
Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements...
Strontium isotope analysis is widely used to evaluate the provenance and mobility of biological spec...
Beta-thalassemia is a genetic disorder that significantly burdens healthcare systems globally. This ...
Over the past decade, 3D bioprinting has made significant progress, transforming into a key innovati...
Understanding atomic-scale structures at electrochemical interfaces is essential for advancing resea...
Bacterial infections present a significant threat to human health, and accurate identification of in...
This study introduces a novel multimodal deep learning model tailored for the differentiation of ben...
The development of therapeutics builds on testing their efficiency in vitro. To optimize gene therap...
Ki-67 immunohistochemistry (IHC), a commonly used assay for breast cancer risk prognostication, has ...
Artificial intelligence models with biomarkers to predict treatment responses to radiation would be ...
INTRODUCTION: Lung neuroendocrine carcinomas (Lu-NECs) are rare, highly aggressive lung tumors with ...
Introduction.Increased steatosis on preimplant liver frozen section is associated with delayed graft...
Gastric cancer is one of the most common malignant tumors of the digestive system, with a high morta...
Advances in virtual staining and spatial omics have revolutionized our ability to explore cellular a...
Tissue atlases provide foundational knowledge on the cellular organization and molecular distributio...
OBJECTIVE: This meta-analysis evaluates the diagnostic accuracy of machine learning (ML)-based magne...
Lung cancer is one of the most prevalent malignancies, characterized by high morbidity and mortality...
OBJECTIVES: The four-repeat (4R) tauopathies are a group of neurodegenerative diseases, including pr...
Machine learning drives osteoporosis detection and screening with higher clinical accuracy and acces...