Cancer Diagnostics – News and Features

A new radiotheranostic system has the ability to detect and treat ovarian cancer noninvasively, providing more personalized treatment to patients.

Researchers have developed and validated a machine-learning model that can accurately evaluate the density of surviving tumor cells after treatment.

Two separate studies have delved into the understanding of resistance to chemotherapy in TNBC and found new ways to segment patients and improve treatment from it.

Scientists have developed a coin-sized chip that can directly isolate blood plasma from a tube of blood in just 30 minutes, which is more convenient and user-friendly as compared to the current gold standard, multi-step centrifugation process.

Fewer middle-aged people are dying from cancer in the UK than at any point over the last 25 years, with mortality rates dropping by over a third.

Researchers from the Johns Hopkins Kimmel Cancer Center have developed a machine-learning approach that identifies these sequences in both tumor DNA and cell-free DNA (cfDNA) that are shed into the blood.

A blood test that screens for circulating tumor DNA in people with an average risk for colorectal cancer is 83% accurate at detecting the disease, reports a new study.

In this interview, Dr. Mason tells us about her career path and experiences along the way, as well as sharing advice for women considering a career in science.

Researchers have developed a revolutionary biosensor using terahertz (THz) waves that can detect skin cancer with exceptional sensitivity, potentially paving the way for earlier and easier diagnoses.

Explore how innovations in the cancer diagnostic space, particularly those focusing on simple but effective diagnostic methodologies, could make cancer screening and early detection more straightforward, improving access and outcomes for patients.