Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
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AI model developed by OUTR, Saudi Univ researchers predicts liver disease with 95.49% accuracy
Researchers from Odisha and Saudi Arabia have developed a hybrid AI model achieving 95.49% accuracy in predicting liver disease. This innovative tool, combining deep learning and boosting, promises ...
Researchers have developed advanced mathematical models and hybrid machine learning tools that accurately predict how ...
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Physical function metrics improve mortality prediction in elderly heart failure patients
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
A team of EPFL researchers has developed an AI algorithm capable of modelling complex dynamical processes while adhering to ...
A new ACU study has identified strategies to address Australia's growing school principal turnover using reforms that focus ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
This research was, in part, funded by the Advanced Research Projects Agency for Health (ARPA-H). The views and conclusions contained in this document are those of the authors and should not be ...
Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...
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