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 ...
Researchers have discovered a brain activity pattern that can predict which people with mild cognitive impairment are likely ...
A new artificial intelligence model in the US, SleepFM, has found that patterns in human sleep can be used to predict a ...
EQT Foundation has invested in UK-based Biographica as part of its seed round, supporting the company’s machine learning platform for faster and more accurate crop gene discovery. Biographica’s ...
Abstract: Through the application of advanced deep-learning techniques, brain tumor detection and classification have advanced significantly in the last ten years in medical imaging. The purpose of ...
Abstract: Brain tumor is an unhealthy threat due to its high mortality. Brain tumors have a broad range of appearances such as type, location, and texture, and their similarities to normal tissue make ...