Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

A new research paper was published in Aging (Aging-US) Volume 17, Issue 6, on June 13, 2025, titled “Development of a novel ...

Objective: Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ...

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan.

Meanwhile, the two cumulative probability distribution functions remain entangled, each stabilizing at ½ (“wave modality”). The LPE unifies principles of classical and quantum physics through a ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

In notice this week, DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navy’s Marine Operations Centers.

This study focuses on the learning-based asynchronous sliding mode control for switching systems, operating under a general switching rule and partially unknown probability information. A novel ...

Four machine learning (ML) models [random forest (RF), support vector machine (SVM), logistic regression (LR), and extreme gradient boosting (XGB)] are applied to simulate permafrost distribution and ...

Although machine learning model-derived probability scores were superior for assessment of disease likelihood than interpretations by specialists, they failed to improve interpretations.