Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).
Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...
In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...
Using detailed surveys and machine learning computation, new research co-authored at UC Berkeley's Center for Effective Global Action finds that eradicating extreme poverty would be surprisingly ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
A team of astronomers based at the European Space Agency demonstrated how artificial intelligence technology will alter ...
Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...
As profit season ramps up, companies like Orica and Worley are turning to AI and analysis to better communicate and offset ...
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