Researchers developed a new scanning method that combines light and ultrasound to non-invasively monitor cerebrovascular changes in the early stages of an ischemic stroke in real time.
Researchers developed an AI-based system which has has a broad ability to identify even subtle differences between medical images taken at different times, and to predict related outcome measures.
Molecular changes associated with brain inflammation and dementia can be detected in the blood. Researchers want to use this to establish blood tests as an alternative to more costly brain scans.
Using a new technology and computational method, researchers have uncovered a biomarker capable of accurately predicting the aggressiveness of meningioma brain tumors and breast cancers.
Traumatic brain injury (TBI) increases dementia risk, but the reasons are poorly understood. Now, a study explores the role of the brain's blood vessels as drivers of Alzheimer's disease.
While thrombectomy to remove blood clots after a stroke is increasingly performed, new research suggests that it may not be needed in all cases.
Research suggests a new approach to detecting Alzheimer’s disease: changes in brain oxygenation dynamics and neuronal function contribute to the neurodegeneration.
Researchers explore the connection between the gut and the brain and its impact on the onset of psychiatric and neurological disorders, including Alzheimer’s.
A new blood test that detects a specific brain protein may help doctors determine the type of a stroke faster and allow them to start safe treatment for people before they get to the hospital.
“A turning point in neuroscience,” say developers about a holographic endoscope that peers deep into the brain through an optical fiber – minimally invasive and with subcellular resolution.
Two new radiotracers outperform the current FDA-approved tracer for detecting Alzheimer's disease, showing higher binding to affected tissue and greater selectivity for identifying tau tangles.
Late-stage breast cancer patients are more often affected by brain metastases than previously believed, a new study finds. The researchers suggest that MRI screening guidelines should reflect this.
Traumatic brain injury can lead to post-traumatic epilepsy (PTE). Researchers focus on a specific brain receptor to better understand and prevent PTE in at-risk patients.
Helping the brain repair itself after a stroke: A new study based on unique tissue samples from Denmark's Brain Bank may pave the way for new treatments that support brain regeneration.
Researchers are developing a new in vitro model for stroke. If successful, this could significantly reduce reliance on animal models in stroke research by up to 1,000 animals each year across the UK.
Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.
Promising technology for patients with spinal cord injuries: A new study paves the way for complex touch sensation through brain stimulation, using an extracorporeal bionic limb.
New insights on the degradation of implantable chips in the body could lead to enhanced longevity of the chips and better treatments for patients with Parkinson's or clinical depression.
More than just a sports injury: A new study shows that head trauma may activate latent viruses, leading to neurodegenerative conditions such as Alzheimer’s disease and Parkinson’s disease.
Paediatric brain tumours are difficult to diagnose and treat – especially, when delays occur. A new study explored the impact of the Covid-19 pandemic on children with brain tumours.
Researchers uncovered a surprising link between Alzheimer’s disease and herpes simplex virus-1 (HSV-1), suggesting that viral infections may play a role in the disease.
Using a technique called field-cycling imaging (FCI) derived from MRI, researchers are able to detect signs of brain damage from stroke at ultra-low magnetic fields.
A new study shows that a simplified, low-field MRI machine, augmented with machine learning tools, matches conventional MRI in measuring brain characteristics relevant to Alzheimer's disease.
Spinal cord stimulation is performed for patients with chronic pain. However, for some patients, the procedure is not effective. A new method involving fMRI could help predict success.
Precise segmentation of anatomical structures greatly benefits cancer diagnosis. Using AI and deep learning methods, researchers are developing a high-precision 3D viewer software for medical image data.
