Researchers say ability to see for the first time previously hidden indicators of MS disease progression is an important advance.

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

One of the uncomfortable truths about multiple sclerosis is that the part of the brain likely to reveal the most about the ...

Abstract: Accurate and efficient brain tumor diagnosis remains a critical challenge in medical imaging. This study proposes a novel framework that integrates fuzzy logic-based segmentation with deep ...

SINGAPORE – Using extremely small amounts of tiny genetic markers, a new device developed by researchers at Nanyang Technological University (NTU) could cut the detection time for a range of diseases ...

From GPs using the technology to record consultations to AI ‘detectives’ finding brain lesions on scans, experts say it’s only the beginning Get our breaking news email, free app or daily news podcast ...

Summary: Researchers have developed an AI tool called FaceAge that uses facial photos to estimate biological age and predict survival outcomes in cancer patients. In a study involving over 6,000 ...

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm called ...

An area of great hope and promise for applied artificial intelligence (AI) deep learning is at the intersection of neuroscience and oncology, both challenging fields known for their inherent ...

Summary: AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance. Using convolutional neural networks and transfer learning ...

Consider this scenario: With a simple click, doctors will be able to assess the hardness, texture and elasticity of tumours, including gaining insights into the likelihood of a patient’s survival and ...