Latest AI and machine learning research in colon cancer for healthcare professionals.
INTRODUCTION: The programmed cell death (PCD) plays a key role in the development and progression of...
Objective biomarkers are crucial for early diagnosis to promote treatment and raise survival rates f...
Molecular subtypes of colorectal cancer (CRC) significantly influence treatment decisions. While con...
BACKGROUND AND OBJECTIVE: In Pancreatic Ductal Adenocarcinoma (PDA), multi-omic models are emerging ...
PROBLEM: Pancreatic ductal adenocarcinoma (PDAC) is considered a highly lethal cancer due to its adv...
INTRODUCTION: Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate among all major c...
Artificial Intelligence (AI) has made significant strides due to advancements in processing algorith...
It has been recognized that oxidative stress (OS) is implicated in the etiology of recurrent pregnan...
BACKGROUND: Radiotherapy (RT) is a critical component of treatment for locally advanced rectal cance...
BACKGROUND AND AIMS: Colorectal cancer (CRC) is the third most prevalent cancer globally, posing a s...
Delayed diagnosis and treatment resistance result in high pancreatic ductal adenocarcinoma (PDAC) mo...
Various forms of programmed cell death (PCD) collectively regulate the occurrence, development and m...
Lung adenocarcinoma (LUAD) poses significant challenges due to its complex biological characteristic...
BACKGROUND AND AIMS: Artificial intelligence (AI) is increasingly used to improve adenoma detection ...
BACKGROUND: There is an increasing demand for automated surgical skill assessment to solve issues su...
BACKGROUND: Cancer stem cells (CSCs) are a subset of cells within tumors that possess the unique abi...
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information an...
BACKGROUND: Pancreatic adenocarcinoma (PAAD), known for its high lethality, has not been thoroughly ...
The performance of existing lesion semantic segmentation models has shown a steady improvement with ...
Optimizers are the bottleneck of the training process of any Convolutionolution neural networks (CNN...
Untargeted metabolomic analysis using mass spectrometry provides comprehensive metabolic profiling, ...