A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

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 ...

Researchers have used Fitbit data to train a machine learning algorithm to accurately predict mood swings associated with bipolar disorder. It opens the door to using a personalized algorithm to drive ...

Editor’s Note: In a volatile market where long-term projections are unreliable, opportunities can still come knocking… if you know where to look… And if you have the right tools. Our corporate partner ...

It is instructive to acknowledge the complex interplay among AI, energy availability, and decarbonisation. While the AI ...