Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Abstract: Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. In order to reduce ...

Encoded Therapeutics has linked its Dravet syndrome gene therapy ETX101 to a 78% reduction in seizures, keeping the biotech on track to start a pivotal study next year. The Californian company’s ...

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Neuroscientist M. Catalina “Cat” Camacho spends a lot of time playing with kids. They’re not her children, but participants in her research, which looks at how young brains learn to process emotions ...

In May 2020, Pratyusha Sharma was painstakingly parsing data to prepare for a meeting with her research group at the Massachusetts Institute of Technology, hoping to find a pattern. It wasn’t just any ...

On October 13, a group of Indigenous artists took over the American collection at New York’s Metropolitan Museum of Art to emphasize the need to elevate alternative narratives on Columbus Day—now ...

If you’ve ever taken even a cursory glance at a hurricane forecast, you’ve seen some version of the “cone of uncertainty.” It sounds like some other-dimensional realm of indecision, but it’s a ...

A new brain-computer interface can decode a person's inner speech, which could help people with paralysis communicate. When you purchase through links on our site, we may earn an affiliate commission.

Abstract: Accurate estimation of two-dimensional (2D) multi-obstacle steady-state flows is crucial in various scientific and engineering disciplines, yet conventional methods often fall short in ...