Latest AI and machine learning research in other cancers for healthcare professionals.
Recent studies suggest cGAS-STING pathway may play a crucial role in the genesis and development of ...
Existing algorithms for assessing tumor purity are limited to a single omics data, such as gene expr...
PURPOSE: The spatial variability and clinical relevance of the tumor immune microenvironment (TIME) ...
Nanorobots are a promising development in targeted drug delivery and the treatment of neurological...
In drug discovery, accurate lung tumor segmentation is an important step for assessing tumor size ...
Hematoxylin and eosin (H&E) whole slide images provide valuable information for predicting prognosti...
In recent years, it has become clear that artificial intelligence (AI) models can achieve high accur...
Sleep staging is a crucial task in sleep monitoring and diagnosis, but clinical sleep staging is bot...
The mortality rate of oesophageal squamous cell carcinoma (ESCC) remains high, and conventional TNM ...
INTRODUCTION: The aim of this study was to find the most appropriate variables to input into machine...
Programmed cell death (PCD) pathways hold significant influence in the etiology and progression of a...
Brain tumors pose a serious health threat due to their rapid growth and potential for metastasis. ...
Recent advances in machine learning are transforming medical image analysis, particularly in cance...
Esophageal squamous cell carcinoma (ESCC) is the most common histological type of esophageal cancer ...
Infrared (IR) dyes, especially those within the near-infrared (NIR) spectrum, offer substantial ad...
Gallbladder cancer (GBC) is the most frequent cause of disease among biliary tract neoplasms. Iden...
This study presented a novel approach for the precise ablation of breast tumors using focused ultras...
Purpose: In radiology, large language models (LLMs), including ChatGPT, have recently gained atten...
BACKGROUND/AIMS: Hepatocellular carcinoma (HCC) represents a primary liver malignancy with a multifa...
Identifying driver genes is crucial for understanding oncogenesis and developing targeted cancer t...
Patient outcomes of osteosarcoma vary because of tumor heterogeneity and treatment strategies. This ...