Category: Neurology
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Brainomix e-Stroke ‘s Effectiveness in Acute Stroke Diagnosis
Key points In a recent study, researchers conducted an in-depth evaluation of Brainomix e-Stroke, an AI-powered tool designed to diagnose acute stroke. This evaluation occurred at the University College London Hospital’s Hyperacute Stroke Unit. Researchers analyzed patients admitted from October 2021 to April 2022. The main objective was to assess the effectiveness of Brainomix e-Stroke…
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Link Between Early Stress, Psychiatric Disorders, and Cognitive Decline: A Penn State Study
A recent study led by the Penn State Center for Healthy Aging investigates the relationship between early life adversity/stress, psychiatric disorders, and the decline in neurocognitive abilities in adulthood, focusing on the role of epigenetic age acceleration as a potential biomarker. The research examined five different epigenetic age acceleration clocks using data from two independent…
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Revolutionizing Alzheimer’s Early Detection: Utilizing Machine Learning Brain Age Prediction Model With FLAIR MRI images
Researchers have made a significant breakthrough in the early detection of Alzheimer’s disease, leveraging the power of brain imaging and machine learning. In a recent study, scientists developed a novel approach using brain age prediction models derived from FLAIR MRI imaging. This method primarily focuses on identifying individuals at the prodromal stage of Alzheimer’s, specifically…
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UT Dallas Researchers Use Machine Learning to Predict Cognitive Health from Brain Biomarkers
Researchers from the Center for BrainHealth at The University of Texas at Dallas trained a machine learning model to forecast changes in cognitive brain health using neural biomarkers from the brain’s blood flow response. The key focus of the research was to predict improvements in the BrainHealth Index using the neural markers obtained from the…
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The McCance Brain Care Score ‘s Predictive Validity for Dementia
McCance Brain Care Score The McCance Brain Care Score (BCS) is a 21-point tool developed to reduce the risks of dementia and stroke through lifestyle changes. Created with input from practitioners and patients via a modified Delphi process. It encompasses three key areas: This scoring system is designed for use in healthcare settings. The brain…
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Predicting Neurodevelopmental Outcomes in Preterm Infants: Insights from aEEG–EEG and Machine Learning
Researchers analyzed a cohort of preterm infants (born before 28 weeks of gestation) at the Wilhelmina Children’s Hospital in the Netherlands, focusing on predicting neurodevelopmental outcomes using early postnatal amplitude-integrated electroencephalogram (aEEG) and raw EEG features. The study analyzed data from 339 infants, including nine qualitative parameters and 330 quantitative metrics, and employed machine learning…
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ANDI – Automated Radiological Image Processing Software
ANDI is an advanced quantitative imaging software designed to enhance the evaluation of medical images, particularly in neuroimaging. Its core function revolves around processing diffusion-weighted images to map the microstructural properties of white matter in the brain. ANDI employs a combination of local (per-voxel basis) and global (whole brain) reconstruction algorithms, including modeling, tractography, and…
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AI/ML: Brainomix 360 Triage ICH
Brainomix 360 Triage ICH uses an artificial intelligence to analyze non-contrast CT images of the brain to identify intracranial hemorrhages.
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Smart EEG Reading Brain Cap to Speed Up Stroke Diagnosis in Ambulances
Researchers from Amsterdam University Medical Centers developed a brain-wave cap to effectively diagnose large ischemic strokes in ambulances, enabling quicker and more accurate treatment. The cap conducts an EEG in the ambulance to determine the stroke type and size, which dictates the treatment – blood thinners for small strokes and mechanical clot removal in specialized…
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Novel in-ear sensors to monitor brain activity and lactate levels
University of California, San Diego researchers have developed an in-ear sensor system that combines electrochemical and electrophysiological sensors on a flexible substrate integrated with earphones. This system allows for the simultaneous monitoring of lactate levels and various brain states using electroencephalography (EEG), electrooculography (EOG), and electrodermal activity.During exercise, the device detected increased lactate levels in…
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