The University of Pennsylvania Perelman School of Medicine joined with Intel Labs to conduct a research study to improve brain tumor detection by using a kind of machine learning called Federated ML.

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

University of Waterloo. "Using machine learning to predict brain tumor progression." ScienceDaily. ScienceDaily, 16 January 2023. <www.sciencedaily.com / releases / 2023 / 01 / 230116112613.htm>.

Research shows that CNNs trained on camouflage detection improve brain tumor classification in MRI scans, highlighting the potential of unconventional training.

Intel and Penn Medicine will collaborate to develop a brain tumor-detecting AI using a technique called federated learning.

They're using machine learning to fully analyze a patient's tumour, to better predict cancer progression. Researchers analyzed two sets of MRIs from each of five anonymous patients suffering from GBM.

The idea behind federated learning is that training AI models to detect brain tumors early requires researchers to have access to large amounts of data, but it is also essential that the data ...

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

A recent study revealed that microRNAs in urine could be a promising biomarker to diagnose brain tumors. Their findings have indicated that regular urine tests could help early detection and ...