Cancer Diagnostics – News and Features

This article explores application areas that are showing the most potential for this technology and illustrates how ML approaches are being applied to maximize its value.

By leveraging a unique, competitive reaction between two different crRNAs, researchers simplify CRISPR technology, making it a more effective tool for sensitive nucleic acid detection.

Researchers developed a non-invasive genetic test that can screen the blood of pregnant individuals to survey all genes from the fetal genome. The blood test approach is potentially scalable.

Technology Networks invited Dr. Nigel Jamieson, clinical senior lecturer and honorary hepato-pancreato-biliary surgeon at Glasgow Royal Infirmary, to an Ask Me Anything session to answer your questions about spatial biology.

Blood tests for circulating tumor DNA could be used to detect cancer 18 months prior to clinical diagnosis by CT scan, jumpstarting diagnosis and enabling patients to start targeted therapy quickly.

Treating cancer is becoming increasingly complex, but also offers more and more possibilities. After all, the better a tumor’s biology and genetic features are understood, the more treatment approaches there are.

A model based on artificial intelligence is able to predict the therapy outcome in 80% of ovarian cancer patients. The tool, named IRON (Integrated Radiogenomics for Ovarian Neoadjuvant therapy), analyzes various patient clinical features.

In this opinion piece, Neil Ward explores how advances in sequencing could help to provide new insights for rare disease patients.

A liquid biopsy that identifies cell-free DNA as a marker of cancer could improve cancer detection in patients with Li-Fraumeni syndrome, which carries an almost 100 percent lifetime risk of developing cancer.

A team of scientists at Stanford University has taken a look inside the human eye with a new level of detail by using cutting-edge molecular analysis.