Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the ...

A butterfly flaps its wings and weeks later a tornado touches down halfway around the world. Mathematician Edward Lorenz used the butterfly effect to explain chaos theory in the 1960s. Now, decades ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

AI models outperform traditional statistics in predicting post-complete cytoreduction outcomes in ovarian cancer patients. AI's diagnostic accuracy was high for predicting overall survival and no ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

This Research Topic is Volume II of a series. The previous volumes can be found here: Natural Disaster Prediction Based on Experimental and Numerical ...

Sudden cardiac death causes about half of the roughly 500,000 cardiovascular deaths that happen every year in the US. The vast majority of these deaths are due to coronary artery disease (CAD).