ARGONet, a new approach that combines multiple data streams with artificial intelligence, produces the most accurate estimates of flu activity, up to a week ahead of traditional healthcare based reports.
Machine learning technology is helping researchers to detect the early signs of Alzheimer's, by identifying potential blood based biomarkers of the disease. Researchers say the technology has found hidden factors associated with Alzheimer's through medical data, and could help improve disease prediction.
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Researchers apply deep learning algorithms to help measure physiological changes linked to heart disease.
A new AI algorithm can detect behavioral symptoms associated with anxiety with over 90% accuracy.
A new machine-learning algorithm is assisting researchers to determine which existing drugs can be repurposed effectively for other conditions.
New artificial intelligence technology can accurately predict how any chemical is going to smell to humans.
A new deep learning algorithm that looks for the burden of genomic variants is 70% accurate at identifying specific mental health disorders within the African-American community.
While Parkinson's disease is known to generally affect motor function, there is a range of other symptoms associated with the neurodegenerative disease. Some additional symptoms include changes to the skin on the face and problems forming facial expressions. A new AI system is able to detect subtle changes in facial attributes associated with Parkinson's disease.
Combining advance microscopy techniques and artificial intelligence, researchers reconstruct the entire vascular network of a mouse brain down to its finest details.
Researchers have successfully reconstructed a short movie of randomly moving discs produced by rat retinal neurons, with the help of machine learning technology.
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Researchers provide evidence that certain species of human herpesvirus contribute to the development of Alzheimer's disease. The study reports high levels of human herpesvirus 6A and 7 were found in brain samples showing signs of Alzheimer's neuropathology. The findings offer hints of the viral mechanisms that could trigger or exacerbate AD.
Researchers reveal people are able to correctly identify, with 75% accuracy, expressions of emotion in others based on subtle changes in color around the nose, eyebrows and chin.
