The new machine-learning algorithm was able to build a screening scale for DSM-5 adult ADHD from responses to six questions in the WHO ASRS screening scale. The screen's questions are as follows: ...

Scientists using machine learning tools to analyze biomedical data often turn to neural network algorithms, but before these models became popular, another simpler type of machine learning algorithm ...

This has opened opportunities for us to apply the Machine Learning techniques, as they are proposed in the article." Alberto Albiol, tenured professor at UPV and member of the iTEAM group ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

More importantly, they say, their machine-learning-based method was extremely efficient, reducing the number of compounds that needed to be screened by more than 200-fold.

Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers from the University of Eastern Finland ...

New machine algorithm could identify cardiovascular risk at the click of a button. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 04 / 250429103146.htm ...

And on a common machine learning task where the team trained their kernel method algorithms to recognize images, their approach surprisingly boosted the accuracy by up to 10 percent. Moreover, the ...