Cancer Diagnostics – News and Features

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.

UZH and USZ researchers have now further developed an advanced method to analyze liquid biopsies of DNA fragments in the blood. It is fast and practical, without putting much of a strain on patients.

Scientists have developed a new AI architecture designed to detect breast cancer that the researchers say has achieved an accuracy rate of 99.72%.

An artificial intelligence-powered method for detecting tumor DNA in blood has shown unprecedented sensitivity in predicting cancer recurrence, in a study led by researchers at Weill Cornell Medicine.

Scientists have developed a computational method that links genes to the molecular marks on DNA that "switch" them on or off.