Summary: A new study reveals a vulnerability in AI image recognition systems due to their exclusion of the alpha channel, which controls image transparency. Researchers developed “AlphaDog,” an attack method that manipulates transparency in images, allowing hackers to distort visuals like road signs or medical scans in ways undetectable by...

Summary: Researchers have developed a machine learning model that upgrades 3T MRI images to mimic the higher-resolution 7T MRI, providing enhanced detail for detecting brain abnormalities. The synthetic 7T images reveal finer features, such as white matter lesions and subcortical microbleeds, which are often difficult to see with standard MRI...

Summary: Lewy body dementia (LBD) is a challenging-to-diagnose neurodegenerative disease with symptoms similar to both Parkinson’s and Alzheimer’s diseases, including hallucinations, cognitive issues, and movement disorders. To study LBD’s progression, researchers developed mini brain models from LBD patient stem cells, replicating key disease characteristics seen in human brains.These models helped...

Summary: A recent review explored how integrating machine learning with traditional statistical models can enhance disease risk prediction accuracy, a key tool in clinical decision-making. While traditional models like logistic regression are limited by certain assumptions, machine learning offers flexibility but has inconsistent results in some cases.The study revealed that...

Summary: A recent study reveals that the toxic trimer form of the protein SOD1 affects the brain, spinal cord, and muscle tissues differently in ALS, shedding light on its complex progression.The study found SOD1 trimers bind uniquely to different proteins in each tissue type, potentially impacting cellular communication, structure, and...