A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

In a significant move aimed at strengthening regulatory clarity for cancer related medical technologies, the Central Drugs ...

The tests have not been approved by federal regulators, but that hasn’t stopped patients from wanting them — and doctors from worrying. By Nina Agrawal In the spring of 2021, the cancer field was ...

Patients who received a focused ultrasound treatment to aid drug delivery increased their odds of surviving the deadliest form of brain cancer by nearly 40%, according to a study led by University of ...

A new nasal-delivered nanotherapy shows promise against aggressive glioblastoma tumors. By activating the STING immune pathway using gold-core spherical nucleic acids, researchers were able to reach ...

A growth of abnormal cells in the brain is a brain tumor. These tumors can be either non- cancerous and cancerous. The proposed research implements deep learning algorithms that analyze MRI scans for ...

Laura Standen receives funding from Barts Charity. Suzanne Scott receives funding for research from Barts Charity, National Institute of Health and Care Research, Cancer Research UK, Google LLC, and ...

1 in 4 sexually active women has used injectable birth control, administered into the muscle by a clinician, but many may be unaware of its association with meningioma, the most common brain tumor in ...

An international team of scientists has revealed how rogue rings of DNA that float outside of our chromosomes -- known as extrachromosomal DNA, or ecDNA -- can drive the growth of a large proportion ...