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 ...

Researchers have developed a highly sensitive light-based sensor that can detect extremely low concentrations of cancer biomarkers in the blood. The new technology could one day make it possible to ...

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 ...

Background: The proposed Architecture will provide the processing and analysis essential to accurate and reliable detection of brain tumors from MRI, for timely diagnosis and evidence-based decisions.

Abstract: Identification of brain tumors is a major concern in medical imaging. The outcome of the patients mainly depends upon early and accurate diagnosis. Conventional diagnostic approaches are ...

For decades, researchers have noted that cancer and Alzheimer’s disease are rarely found in the same person, fuelling speculation that one condition might offer some degree of protection from the ...

Abstract: Brain tumor segmentation is essential in medical image analysis, as it contributes directly to early diagnosis and treatment design. Existing methodologies such as Particle Swarm ...

Scientists have discovered that breast cancer can quietly throw the brain’s internal clock off balance—almost immediately after cancer begins. In mice, tumors flattened the natural daily rhythm of ...