Researchers have developed a powerful new tool that makes it easier to study the mix of cell types in human tissue, which is crucial for understanding diseases such as cancer.

Swift detection and diagnosis diminish the impact of the disease. However, classifying breast cancer using histopathology images — tissues and cells examined under a microscope — is a challenging task ...

Researchers discuss the development and validation of a combined model for the early diagnosis of lung cancer.

Nadeem was tasked with developing new sensors using carbon nanotubes to detect proteins in the blood that would help identify cancer. "Inside the cell are a million different proteins, lipids, and ...

Immunotherapy is a new cancer treatment that activates the body's immune system to fight against cancer cells without using chemotherapy or radiotherapy. It has fewer side effects than ...

AI-powered analysis of multianalyte liquid biopsies could be an accessible way to improve ovarian cancer screening.

Researchers at City of Hope and Translational Genomics Research Institute (TGen) have developed and tested an innovative machine-learning approach that could one day enable the earlier detection ...

A Machine Learning Tool Uncloaks the Hidden Sources of Cancer Cells Researchers created a model that uses clinical testing data to locate the primary site of cancer cells with no known origin, likely ...

Researchers are using machine-learning to build tools in the realm of cancer detection and diagnosing, potentially catching tumors or lesions that doctors could miss.

This special issue is timely as it addresses the application of AI to cancer research and the contribution of AI for improving cancer detection and diagnosis through biomarker discovery.