Brain cancer digital twin predicts treatment outcomes by mapping tumor metabolism

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

Camouflage detection boosts neural networks for brain tumor diagnosis

Neural networks trained with a camouflage detection step show enhanced accuracy and sensitivity in identifying brain tumors from MRI scans, mimicking expert radiologists. Study: Deep learning and ...
Technology Networks

Brain Cancer Digital Twin Predicts Whether a Treatment Is Likely To Slow Tumor Growth

Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...
Electronic Design

Neuromorphic NPU Sips Power to Handle Edge Machine-Learning Models

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...
EurekAlert!

Chongqing Medical University team: dual-branch graph attention network enables personalized prediction of ECT efficacy in adolescent depression

Major Depressive Disorder (MDD) is a leading cause of disability among adolescents, yet the efficacy of Electroconvulsive ...
Computing

Smarter, brain-inspired AI design could cut training time and costs, study suggests

AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...
News Medical on MSN

Brain cancer digital twin predicts treatment outcomes

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the University of Michigan, could help doctors discover which treatment strategies ...