Cancer Diagnostics – News and Features

A novel urine-based test that measures 18 markers can accurately detect high-grade prostate cancer, potentially reducing the need for invasive biopsies.

Researchers have developed a urine-based test that can detect DNA fragments released by head and neck cancers, potentially facilitating early diagnosis.

With limited therapeutic options available, scientists have been addressing a compelling need to explore personalized approaches for high-grade gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) that could revolutionize patient care.

Using artificial intelligence (AI) to supplement radiologists’ evaluations of mammograms may improve breast-cancer screening by reducing false positives without missing cases of cancer, according to a study.

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.