Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ ...

Introduction Self-sampling for cervical cancer screening is a promising strategy to improve coverage and reduce strain on ...

A new and important discovery comes from the field of oncological research thanks to the joint work of researchers from the Sbarro Institute in Philadelphia, the National Cancer Institute – Pascale ...

In a significant move aimed at strengthening regulatory clarity for cancer related medical technologies, the Central Drugs ...

Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...

Deep learning CNN for automated cervical cancer detection using Pap smear images, with Streamlit deployment & Grad‑CAM. This project implements a deep learning Convolutional Neural Network (CNN) for ...

Objective: This study aims to develop and evaluate an artificial intelligence-based model for cervical cancer subtyping using whole-slide images (WSI), incorporating both patch-level and WSI-level ...

User interface of the Intelligent Digital Education Tool for Colposcopy (iDECO). This figure illustrates the main user interface of iDECO, a bilingual (Chinese and English) web-based platform for ...

Cervical cancer, one of the most common female cancers, can be detected with computed tomography (CT) and magnetic resonance imaging (MRI). Computer-aided diagnosis (CAD) methods based on artificial ...

Startup SpotitEarly is pioneering an innovative early cancer screening test based on breath samples and powered by artificial intelligence and the strong scent detection of trained dogs. SpotitEarly ...