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 ...
Hospital Healthcare Europe

Machine learning-assisted mapping of VT ablation targets: progress and potential

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
MobiHealthNews

Finding the optimal epilepsy drug using AI in Korea

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
EurekAlert!

AI-accelerated gas sensing: a first-principles–guided machine learning platform for black phosphorus sensors

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
IEEE

Classification of Automatic Modulations using Deep Learning and Machine Learning

Abstract: In wireless communication systems, automatic modulation classification is crucial. In communication applications such as intelligent demodulators, interference detection, and monitoring, ...
TDAN.com

Using Artificial Intelligence and Machine learning to Improve Data Quality in Cloud Native Data Pipelines

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
EurekAlert!

A review on multi-view learning

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...
IEEE

Breast Cancer Classification using Machine Learning Techniques with Explainable AI

Abstract: All the symptoms have been analyzed using several machine learning algorithms for diagnosing breast cancer. This paper utilizes the Breast Cancer Wisconsin (Diagnostic) data set to show how ...