Dave Coulier recently revealed another cancer diagnosis, mere months after recovering from Stage 3 non-Hodgkin’s lymphoma ...

Head and neck cancer is a broad term for several types of cancers that include the mouth (oral cavity), throat (pharynx), voice box (larynx), sinuses and nose cavity, and salivary glands. Head and ...

Head and neck cancers affect the tissues of the mouth, throat, sinuses, and surrounding areas. They can impact crucial functions like breathing, swallowing, and talking. There are several types of ...

Researchers have identified two subtypes of human papillomavirus positive head and neck cancers, giving them a better glimpse into why some patients respond better to treatment than others. Cases of ...

Researchers from Tel Aviv University utilized CRISPR to cut a single gene from cancer cells of head and neck tumors—and ...

White patients had increased odds of receiving immunotherapy vs. other races. Patients with advanced vs. localized disease more frequently received immunotherapy. White patients and those with ...

Researchers from the University of Michigan Health Rogel Cancer Center have created a urine-based test that detects pieces of DNA fragments released by head and neck tumors. The test could potentially ...

Mucoepidermoid carcinoma is the most common type of salivary gland cancer, but it’s rare. Only 1% of head and neck tumors are salivary gland cancer. Your salivary glands are small organs that make ...

The research team: "Until now, CRISPR wasn't used for cancer because it was assumed that knocking out a single gene wouldn't topple the whole structure. We demonstrate that some genes are absolutely ...

Few words are more dreaded to hear from a doctor than learning that a tumor has been discovered. It's something most people equate to significant illness, inconvenience, and even death. Indeed, the ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...