Explore how biochemistry, microbiology, and pathology collaborate in cancer care for early detection, personalized treatment, and survival monitoring.

Cervical cancer detection has witnessed significant advancements through the integration of deep learning techniques into medical imaging and diagnostic procedures. Modern deep learning methods, ...

This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. CHICAGO (WGN) — While machines can scan and ...

Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...

Breast cancer remains one of the leading causes of cancer-related deaths worldwide. Early detection of breast cancer significantly improves outcomes and survival rates, minimizing treatments. Imaging ...

New evidence compares micro-ultrasound and MRI fusion biopsy for detecting clinically significant prostate cancer. Find out ...

A Chinese research team has developed the world's first blood-based diagnostic kit that can tell whether lung nodules are benign or cancerous, including very small nodules that are often difficult to ...

The dual-modal technique combining OCT and Raman spectroscopy achieved 96.9% accuracy in differentiating melanoma from benign lesions. Early melanoma diagnosis is critical, with a 99% 5-year survival ...

On World Cancer Day 2026, an oncologist explains how common cancer myths delay diagnosis, reduce survival chances, and cost ...

Skin cancer is the most common form of cancer worldwide, and early detection is key to successful treatment. While traditional methods rely on visual inspection and biopsy, researchers are developing ...