Machine Learning (PIERS-ML) model and the logistic regression-based fullPIERS model, consecutive performance deteriorates over time.

Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug ...

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and NTT Research, Inc., a division of NTT, announced the publication of research showing an application of ...

As the leader of the data science team at Blue Cross Blue Shield of Michigan, he develops predictive models that redefine patient care.

There are approximately 7,000 different types of rare disease and researchers estimate that there are more than 300 million people worldwide living with such a condition. When taken ...

Traditional prediction methods, based on atmospheric equations, often struggle with coarse temporal resolutions and inaccuracies. This paper presents a novel machine learning (ML) model, called MiMa ...

Feb. 12, 2025 — A study reveals that traumatic brain injury alters the small vessels in the brain, resulting in an accumulation of amyloid beta -- a hallmark of Alzheimer's disease. The findings ...

ESPN's Bracketology efforts are focused on projecting the NCAA tournament field just as we expect the NCAA Division I basketball committee to select the field in March. ESPN bracketologist Joe ...

a machine learning (ML) decision tree model trained off-board the vehicle using Bellhop simulations. Predictions from the ML model show good agreement with the observed field data with an overall ...

tl;dr: LSTM networks performed the best for the prediction of the ... Finally, using gradient boosting, we obtained estimates of feature importance from a trained predictive model. Machine learning: ...

This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning 🚀 You can keep up to date by ...