Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
IEEE

LiDAR-based Model Predictive Control using Control Barrier Functions

Abstract: This paper presents a model predictive control (MPC) with recursive feasibility guarantees for robots with LiDAR sensory measurements. Control barrier functions (CBF) are incorporated within ...

Researcher finds way to predict whirling disease with almost no data

A study led by a University of Calgary researcher has come up with an AI-based early detection system for river-borne ...
The Daily Pennsylvanian

From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
IEEE

Machine Learning Approaches for Predicting Power Generation in Wave Energy Converters

Abstract: The potential of wave energy as a renewable energy source is significant, and therefore the development of accurate methods for predicting power output from Wave Energy Converters (WECs) is ...
Multiple Sclerosis News Today

Machine learning model can predict PIRA in first years of MS diagnosis

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...