Real-world genomic profiling of endometrial cancer in south India to identify clinically actionable alterations. Development and validation of a prognostic model to independently predict cervical ...

Researchers have developed an AI-powered optical biopsy that scans the uterus in under 3 seconds, offering a faster, safer way to detect endometrial cancer early.

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. Please Don't Scroll Past This Can you chip in? The Internet Archive partners with libraries, archives, and institutions across ...

At least 12 of my colleagues boarded planes to the American Society of Clinical Oncology conference in Chicago last week to hear Charles Swanton of the Francis Crick Institute in London share results ...

Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity – the financial stress and hardship that ...

Abstract: Cervical cancer is one of the most common causes of mortality among women globally. Development of accurate, interpretable and clinically deployable automated systems for detection of ...

OBJECTIVE: The aim of this study was to enhance the early diagnosis of cervical cancer by utilizing both scanning atomic force microscopy and scanning electron microscopy images. Until now, these two ...

Cervical cancer continues to be a major health concern for women globally, particularly in low- and middleincome nations where access to early screening and adequate medical care is limited or lacking ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, according to the LiU researchers behind the study, it could eventually be ...

Cervical cancer faces significant pathological diagnosis challenges including pathologist shortages, subjective interpretation, and inconsistent detection rates. This systematic review evaluates AI ...

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 ...