Background: Preoperative endometrial cancer (EC) diagnosis often depends on radiologists’ expertise, which introduces subjectivity. Recent studies have explored radiomics-based machine learning (ML) ...

Share on Pinterest A new AI tool may help predict disease risk using brain MRI datasets. Image credit: Tunvarat Pruksachat/Getty Images The wellness of the brain plays an important role in living a ...

However, identifying VETC early remains challenging. Recently, machine learning has shown promise for VETC detection, but their diagnostic accuracy lacks systematic validation. Objective: This ...

This project leverages artificial intelligence to address ethical and privacy concerns in healthcare by generating synthetic brain cancer images. The goal is to create a synthetic dataset that closely ...

This repo is dedicated to the medical reserach for skin and breast cancer and brain tumor detection detection by using NN and SVM and vgg19 ...

This study aims to construct a dual-modal machine learning model that integrates ultrasound radiomics and plasma proteomics for the precise diagnosis of breast cancer. The results showed that the ...

Tumor neoantigens possess high specificity and immunogenicity, making them crucial targets for personalized cancer immunotherapies such as mRNA vaccines and T-cell therapies. However, experimental ...

A new type of blood test could help detect multiple cancers early. A team of researchers in California studied a new multi-cancer early detection (MCED) test called Galleri, which can reportedly ...

Everyone gets headaches. Everyone misplaces their phone or forgets a name now and then. Most of the time, these moments are harmless—the result of stress, fatigue, or just a busy mind. Yet they're ...