Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
The Canadian Press on MSN
How Canadian agencies are embracing AI tools to defend national security
The national spy watchdog is reviewing the use and governance of artificial intelligence by Canada’s security agencies.
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
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