Machine learning models rank predictive risks for Alzheimer's disease. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 03 / 230330102447.htm ...

Scientists have used machine learning tools to create the first atomic-level model that accurately predicts the thermal properties of stanene, a 2-D material made up of a one-atom-thick sheet of tin.

Abstract: Objective: Evaluating the performance of multiple complex models, such as those found in biology, medicine, climatology, and machine learning, using conventional approaches is often ...

Machine learning has been applied to many health-related tasks, such as the development of new medical treatments, the management of patient data and records, and the treatment of chronic diseases. To ...

The machine learning algorithm, lightGBM, was used to build a prediction model with good performance (R 2 >0.87).More importantly, the critical substructures of ionizable lipids in LNPs were ...

In predictive toxicology, machine learning models are built from the analysis of databases such as ToxCast, ChEMBL, and ...

Machine learning models could analyze live data streams—such as real-time search trends, user behavior on a website and competitor SEO strategies—to make immediate predictions and recommendations.

Machine learning is a class of artificial intelligence that takes current data to train models and algorithms. It’s the poster child of AI: a technology that gets smarter the more you use it.