Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND/AIMS: Inaccurate prediction of lymph node metastasis (LNM) may lead to unnecessary surger...
Cancer's heterogeneity presents significant challenges in accurate diagnosis and effective treatment...
BACKGROUND: Endothelial cells are integral components of the tumor microenvironment and play a multi...
Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective ...
BACKGROUND: Predictive, preventive, and personalized medicine (PPPM/3PM) is a strategy aimed at impr...
Hepatoid adenocarcinoma of the stomach (HAS) is a rare subtype of gastric cancer characterized by hi...
OBJECTIVES: The pairing of immunotherapy and radiotherapy in the treatment of locally advanced nonsm...
BACKGROUND: Radiomics has emerged as a promising approach for diagnosing, treating, and evaluating t...
BACKGROUND: Lung adenocarcinoma (LUAD) is a highly aggressive tumor with one of the highest morbidit...
PURPOSE: Deep learning is a promising approach to increase reproducibility and time-efficiency of gr...
Enhanced sampling (ES) simulations of biomolecular recognition, such as binding small molecules to p...
In the present scenario, cancerous tumours are common in humans due to major changes in nearby envir...
HER2 assessment is necessary for patient selection in anti-HER2 targeted treatment. However, manual ...
BACKGROUND: Skip lymph node metastasis (SLNM) in papillary thyroid cancer (PTC) involves cancer cell...
The rapid advancement of artificial intelligence (AI) has introduced transformative opportunities in...
BACKGROUND: Hepatocellular carcinoma (LIHC) poses a significant health challenge worldwide, primaril...
Immunotherapy, especially immune checkpoint inhibitor (ICI) therapy, has yielded remarkable outcomes...
Colorectal cancer is one of the leading causes of cancer-related mortality in the world. Incidence a...
OBJECTIVES: Patients with nasopharyngeal carcinoma (NPC) are prone to malnutrition, which leads to d...
This study focuses on the use of machine learning (ML) models to predict the biodistribution of nano...
This study utilizes the Breast Ultrasound Image (BUSI) dataset to present a deep learning technique ...