The new machine learning tool prioritizes driver mutations in brain tumor (glioblastoma) and assists in identifying therapeutic targets.

Using data from 71 institutions across six continents, the project demonstrated the ability to improve brain tumor detection by 33%.

Biros' team tested their new method in the Multimodal Brain Tumor Segmentation Challenge 2017 (BRaTS'17), an annual competition where research groups from around the world present methods and results ...

Researchers used a deep learning model to turn the MRI data into patient-specific parameter estimates that inform a predictive model for brain tumor growth.

Then, using a machine learning approach, they developed a computer program to classify the brain tumor type based solely on the ctDNA.

With federated learning, research institutions can collaborate on deep learning projects without sharing patient data. AI shows great promise for the early detection of brain tumors, but it will ...

The researchers at New York University studied the accuracy of machine learning in producing precise and real-time intraoperative diagnosis of brain tumors.