Cancer Diagnostics – News and Features

A deep learning model can effectively detect prostate cancer from MRI images, a new study reports.

The results of routine blood tests could be used to speed up cancer diagnosis among people with stomach pain or bloating, a new study suggests.

Scientists validated a biomarker that potentially predicts whether a stage 2 or 3 colon cancer patient will benefit from adjuvant chemotherapy. The research team aggregated gene expression profiles to create a 933-patient data set.

This article explores how recent advances in nanoscale technology are helping researchers to obtain more data with less hands-on time, vastly increasing what they can study and discover about diseases.

In this article, Asim Siddiqui explores the emerging ability of proteomics to reveal new biomarkers for disease.

CRISPR-Cas systems have become a plentiful source of technologies for molecular diagnostics and researchers have now developed a novel method that enables the detection of RNA with Cas12 nucleases, which naturally target DNA.

Many women treated for breast cancer using taxanes, a type of cytostatic drug, often experience side effects in the nervous system. Researchers have now developed a tool that can predict the risk level for each individual.

Variants of the Ras gene in thyroid tumors could be used for more accurate cancer diagnoses and treatment.

Researchers have used AI to unearth potential cancer drivers hidden in so-called "junk" regions of DNA, opening the door for a new approach to diagnosis and treatment.

Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses.