Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Real-time data processing has become essential as organizations demand faster insights. Integration with artificial ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

Nigeria’s banking sector is the backbone of Africa’s largest economy, serving more than 100 million active accounts and ...

A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through ...

A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.

Here is a [recently developed] tool for analyzing the choices, risks, objectives, monetary gains, and information needs ...

Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...

Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an injury and even provide insights into mortality after spinal cord damage, ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

New machine learning models developed by University of South Australia (UniSA) researchers could help clinicians identify when patients can successfully stop long-term antidepressant use.