Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

A new CRISPR-powered light sensor can detect the faintest whispers of cancer in a single drop of blood.

Meningioma is the most common type of brain tumor. It does not develop in the brain tissue itself, but on the inside of the ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

New research has been published ahead-of-print by The Journal of Nuclear Medicine (JNM). JNM is published by the Society of Nuclear Medicine and Molecular Imaging, an international scientific and ...

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 ...

Abstract: Brain tumors are abnormal growths in the brain that affect cognitive functions. Effective treatment planning and better patient outcomes depend on the timely diagnosis and precise ...

Explore the advancements in minimal residual disease (MRD) assays, comparing tumor-informed and tumor-agnostic methods for enhanced cancer detection and treatment strategies. Minimal residual disease ...

Abstract: In the domain of modern healthcare research, decentralized learning based computer-aided diagnosis (CAD) is transformative for health monitoring and disease detection, particularly in ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...