Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
November is commemorated as Aviation History Month every year to mark the advancements in the field, while reflecting back on ...
Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
A machine learning algorithm used gene expression profiles of patients with gout to predict flares.
DataCamp, the leading online learning platform for data and AI skill building, announced today that it has completed the acquisition of Dubai-based Optima, an AI-native learning platform for building ...
News-Medical.Net on MSN
Machine learning advances human-centric drug toxicity prediction
In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.
The global economy is shifting from software intelligence to embodied AI — where algorithms meet physical production.
Google Project Suncatcher is a new research moonshot to one day scale machine learning in space. Working backward from this potential future, they are ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
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