Latest AI and machine learning research in other cancers for healthcare professionals.
Canine mammary tumors (CMTs) are the most common neoplasms in intact female dogs, yet early detectio...
The blood-brain barrier (BBB) plays a central role in preserving central nervous system (CNS) homeos...
INTRODUCTION: Oral potentially malignant disorders (OPMDs) can lead to oral cancer, which is one of ...
Recent advancements in cancer therapy have led to the emergence of innovative approaches that offer ...
BACKGROUND AND STUDY AIMS: Polypectomy-related costs could potentially be reduced through optical di...
BACKGROUND: Uveal melanoma (UVM) is the most common intraocular malignancy in adults and exhibits po...
PURPOSE: Clear visualization and diagnosis of lung nodules depend on the spatial resolution of CT im...
Recent advances in digital pathology have enabled comprehensive analyses of Whole-Slide Images (WSIs...
This study utilized a novel Proximity Barcoding Assay to perform high-resolution proteomic profiling...
BACKGROUND: Endometrial carcinoma (UCEC) exhibits a rising incidence in China, imposing a substantia...
Artificial intelligence is rapidly reshaping gastroenterology through demonstrable gains in diagnost...
OBJECTIVES: To develop and validate a multimodal radiomics model based on machine learning for predi...
A growing number of diseases are now treated with immunotherapies, which consist of interventions th...
Non-small cell lung cancer (NSCLC) patient management relies on molecular analysis to determine elig...
Serous effusions, including pleural effusion and ascites, commonly occur in advanced cancers like lu...
PURPOSE: This study aimed to investigate the feasibility of combining high-frequency reconstruction ...
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, yet the role of N-glycosylati...
BACKGROUND: Biomechanical features show notable heterogeneity in tumor risk stratification, yet thei...
Fanconi anemia (FA) is an inherited bone marrow failure syndrome with cancer predisposition. Most FA...
AIMS: This study aimed to predict post-transplant malignancy risks at multiple levels among lung tra...
OBJECTIVE: To evaluate the effectiveness of the artificial intelligence-based qXR lung nodule malign...