Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Traditionally, pulmonary cytology has been used to diagnose and screen for a variety of respiratory diseases, including lung cancer. Owing to its rapid turnaround time compared with histological diagnosis, therapeutic decisions may occasionally need to be made based on cytological findings alone. In the era of precision medicine, however, biomarker assessment and molecular testing have...
Artificial intelligence (AI) emerged as the transformative technology in biomedical imaging to improve the accuracy, efficiency and reproducibility of disease diagnosis. Integration of multimodal imaging data for the automated anatomical assessment in preclinical disease models remains insufficiently explored. This study aimed to develop and validate an AI-assisted framework integrating the magnet...
Viral diseases pose a serious threat to global public health, agriculture, and biosecurity. Conventional antiviral strategies are often limited by an ...
PURPOSE OF REVIEW: To provide a practical, physiology-driven framework for advanced hemodynamic monitoring in patients with acute heart failure (AHF) ...
Deep learning (DL) methods are increasingly applied to digitized hematoxylin and eosin (H&E) slides in breast cancer to assist in staging and prognosi...
BACKGROUND AND AIMS: Percutaneous transhepatic biliary drainage (PTBD) is a standard palliative intervention for malignant obstructive jaundice, yet 6...
How cell physical state relates to function and stimulus response remains difficult to resolve because most methods measure only one biophysical prope...
PURPOSE: Preoperative differentiation between benign and malignant parotid tumors (PTs) remains challenging despite clinical examination, cross-sectio...
BACKGROUND: Human papilloma virus (HPV)-related head and neck squamous cell carcinoma (HNSCC) incidence is rising. Despite the prognostic and therapeu...
ETHNOPHARMACOLOGICAL RELEVANCE: The dried root of Paeonia lactiflora Pall. has a long history of medicinal use in traditional Chinese medicine. Classi...
The advent of artificial intelligence (AI) technologies is creating a paradigm shift in drug discovery and development. Veterinary pathology is an are...
The DrugMatrix database contains systematically generated toxicogenomics data from short-term in vivo studies for over 600 chemicals. However, most po...
Microplastics (MPs) are an emerging pollutant of global concern, creating an urgent need for rapid and accurate monitoring workflows. Deep learning-ba...
BACKGROUND: Incidental detection is the most common pathway through which pulmonary nodules are identified. With the advancement of navigational and r...
Exosomes are widely acknowledged as an essential agent that carries biomarkers for specific diseases, representing the molecular status of their paren...
Breast cancer exhibits significant spatiotemporal heterogeneity. Traditional radiomics approaches usually rely on low-temporal-resolution imaging and ...
Multiple myeloma (MM) is a malignant blood cancer marked by severe bone destruction and immune microenvironment disruption. Yet relapse and drug resis...
Pancreatic adenocarcinoma (PAAD) remains one of the most lethal cancers, largely due to the lack of reliable diagnostic biomarkers. Through integrativ...
Robust nuclear segmentation in 3D microscopy images is a critical yet unsolved challenge in quantitative cell biology. The main challenges are the sca...
Freeway diverging areas require drivers to decelerate, change lanes, and observe traffic simultaneously, resulting in elevated crash risk compared to ...