For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

Argobio successfully facilitated fundraising and syndication process, following its earlier role in creating and pre-seed funding Enodia ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...