With more accessible AI models shifting the landscape of cancer research and treatments, scientists weigh in on whether AI ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

Researchers at City of Hope, a cancer research and treatment organization, and the University of California, Berkeley, have ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - is one of the fundamental causes of diabetes. In addition to diabetes, it is ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: The lung cancer prediction process became computerized by using the subset of the Artificial intelligence (AI) such as machine learning, deep learning. The AlexNet, UNet, Convolutional ...

Despite advances in cancer prevention and treatment, large disparities persist in cancer mortality worldwide. Mortality-to-incidence ratios, commonly used as a proxy for cancer survival, remain ...

Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ so dramatically around the world. By analyzing cancer data and health system ...

A new and important discovery comes from the field of oncological research thanks to the joint work of researchers from the Sbarro Institute in Philadelphia, the National Cancer Institute – Pascale ...