An artificial intelligence (AI) tool has revealed how disease-linked proteins misfold into harmful structures, a key advance in understanding neurodegenerative disorders such as Alzheimer’s and Parkinson’s. The study, led by Mingchen Chen of the Changping Laboratory and Rice University’s Peter Wolynes, introduces RibbonFold, a new computational method capable of predicting the structures of amyloids—long, twisted…
Category: Artificial Intelligence
AI breakthrough: 96% accuracy in Parkinson’s diagnosis
A prospective multicentre study published in JAMA Neurology has validated the high accuracy of neuropacs™ AI technology in diagnosing Parkinson’s disease (PD) and atypical parkinsonism, including multiple system atrophy parkinsonian variant (MSA-P) and progressive supranuclear palsy (PSP). Conducted across 21 movement disorder centres in the US and Canada, the study involved 249 patients who underwent…
Detecting brain cancer spread with AI
Via McGill University: Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, without aggressive surgery. The proof-of-concept study, from an international team co-led by McGill University researchers Dr Matthew Dankner and Dr Reza Forghani, demonstrated that the AI model can detect the presence of cancer cells…
Detecting large vessel occlusion (LVO) using AI
Recent data from a large-scale comparative study indicate that RapidAI’s artificial intelligence (AI) platform demonstrates higher sensitivity in detecting large vessel occlusion (LVO) compared to Viz.ai’s software. The study, DUEL (Detection of LVO Using AI), represents the largest head-to-head evaluation to date, including 1,591 consecutive patients presenting with suspected stroke. Findings from this study, along…
£225m supercomputer using AI to develop new drugs and vaccines
The UK’s most powerful supercomputer, Isambard-AI, is set to become fully operational this summer in Bristol. UK Prime Minister Sir Keir Starmer recently announced plans to expand AI’s role in transforming public services, with a key focus on healthcare innovation. Transforming Neurological Research One of Isambard-AI’s key contributions will be in the field of neurology,…
UK award to develop therapeutic brain-computer interface
Motif Neurotech wins multimillion dollar UK Government award Motif Neurotech, a Houston-based neurotechnology company, have been selected by the UK’s Advanced Research and Invention Agency (ARIA) for a multimillion dollar award to support Motif’s development of a therapeutic brain-computer interface (BCI) technology to treat cognitive and psychiatric conditions. The award will fund development of a…
AI model identifies potential risk genes for Parkinson’s Disease
Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson’s disease. Researchers identified genetic factors in progression and FDA-approved drugs that can potentially be repurposed for PD treatment. The npj Parkinson’s Disease report uses an approach called “systems biology,” which uses AI to integrate and analyse multiple different forms of information from genetic,…
Brain-computer interface decodes thought in real-time
NeuroXess’ new BCI, implanted into a epileptic patient’s brain, can not only decipher complex Chinese language but also operate a robotic arm and interact with AI Chinese startup NeuroXess has achieved two significant milestones in brain-computer interface (BCI) technology, benefiting a brain-damaged patient. These breakthroughs include decoding thoughts into speech in real-time and enabling thought-driven…
AI identifies epileptic lesions on MRI
An open-source artificial intelligence (AI) tool developed by Sophie Adler, a medical student at University College London (UCL), and her colleagues, is improving the detection of epileptic lesions often missed by traditional MRI analysis. The tool, presented in Sophie’s talk at the American Epilepsy Society (AES) Annual Meeting 2024, has shown potential in identifying focal…
Enhancing MRI with AI to improve diagnosis of brain disorders
Study introduces a machine-learning model to synthesise high-quality MRIs from lower-quality images There is growing interest in using machine learning to enhance imaging data captured by magnetic resonance imaging (MRI) technology. Recent studies show that ultra-high-field MRI at 7 Tesla (7T) could have far greater resolution and clinical advantages over high-field MRI at 3T in…
