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cancer detection

Scientists utilized zinc oxide nanowires to capture cancer-associated miRNAs in urinary extracellular vesicles. By integrating machine learning analysis, they identified specific miRNA ensembles that differentiate lung cancer patients from healthy individuals, showing promise as a non-invasive, early-stage cancer detection tool. This pioneering approach could transform cancer diagnosis, enhancing patient outcomes through earlier intervention.

New Nanowire Technology Detects Early-Stage Cancer Through Urine Test

Daniel Bojar

AI Speeds Up Cancer Detection Through Sugar Analysis

Three original images from an artificial colon, taken using an endoscope. The 3D model can be used to adjust the lighting in an original image so that darker areas become better illuminated, as shown in the images below. Bottom: The reconstructed 3D model based on the three originals.

New 3D Colon Models Could Replace Painful Colonoscopies

Blood test

Ultrasensitive blood test detects ‘pan-cancer’ biomarker

Blood test container

A blood test for cancer shows promise thanks to machine learning

Right now, a simple DNA swab can tell you where you came from and which diseases you stand to inherit. In the future, it might give you the means to beat them too.

New software uncovering the link between ancestry and cancer

In fight against male cancer, caring for mental health is a growing priority

Novel AI blood test detects liver cancer

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