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Using data from nearly half a million individuals, a machine learning model has been used to rank risk factors in order of how strong their association is with the eventual development of Alzheimer’s disease.

According to research, while we sleep, blood vessels in the brain constrict and dilate in specific patterns to clear harmful waste substances from our brains.

A machine learning system has been developed that can predict storms and hazardous weather four to eight days in advance, enabling the public to prepare.

Bubbles bursting and releasing aerosols at liquid-air interfaces have the capacity to impact the environment and public health by spreading contaminants and microbes.

Researchers from the Human Brain Project have presented computational modeling techniques for creating digital twins of the brain, illustrating how it can be applied to epilepsy.

LMU chemists use high-precision quantum chemistry to study key elements of super-efficient energy transfer in an important element of photosynthesis.

Researchers hope the AI tool will improve diagnosis and treatment of cancerous brain tumors, as well as boost clinical trial enrollment.

ChatGPT has the potential to create increasing and exciting opportunities – but also poses significant challenges – for the academic community, according to an innovative study written in large part using the software.

A novel method for evaluating the interpretability of artificial intelligence (AI) technologies has been developed, opening the door to greater transparency and trust in AI-driven diagnostic and predictive tools

An advanced biosensor brain–computer interface is bringing thought-controlled robots a step closer to reality.