New machine learning (ML)-based tool developed by researchers helps detect cancer-causing tumors in the brain and spinal cord. ‘aGBMDriver' (GlioBlastoma Mutiforme Drivers), the machine learning tool ...

A new computational machine learning tool developed by researchers predicts the growth of deadly brain tumors more accurately. Researchers at the University of Waterloo and the University of Toronto ...

MANILA, Philippines — The Philippine General Hospital (PGH) is studying the viability of using Taiwanese artificial intelligence (AI) software that can detect brain tumors in five minutes. PGH ...

Waterloo [Canada], January 16 (ANI): Researchers at the University of Waterloo have developed a computational model to better accurately anticipate the emergence of lethal brain tumours. Glioblastoma ...

Brain tumors could soon be detected by robots, according to a new study. Artificial intelligence (AI) models can be trained to distinguish tumors from healthy tissue, say scientists. AI models can ...

The pharmaceutical industry in India is focusing on early detection and personalized treatments for brain tumors. By utilizing advanced imaging techniques and genetic research, patients are receiving ...

A new liquid biopsy approach developed by Johns Hopkins Kimmel Cancer Center investigators could revolutionize brain cancer detection by identifying circulating DNA fragments from tumors and immune ...

Impact of stereotactic ablative radiotherapy (SABR) on detection of ctDNA in patients with early-stage lung cancer: Interim findings from the prospective SABR-DETECT trial. This is an ASCO Meeting ...