The Business & Financial Times on MSN

Learning from the global AI race: Why we must lead on AI governance in Africa

By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act ...
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 ...
Scientific Research Publishing

Sporadic Hemiplegic Migraine Case Study and Classification Using Machine Learning ()

1 San Juan Bautista School of Medicine, Caguas, PR, USA. 2 Independent Researcher, Monmouth County, NJ, USA. There are two types of hemiplegic migraines: sporadic hemiplegic migraine (SHM) and ...
IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Journal of Medical Internet Research

Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time ...

Classification models were developed using supervised machine learning algorithms (decision tree, support vector machines, k-nearest neighbor, and neural networks) and evaluated through ...
The American Journal of Managed Care

EHA Plenary Abstracts Zoom in From Investigational Drugs to Molecular Signatures

JNJ-5332, a trispecific antibody, showed promising efficacy in relapsed/refractory multiple myeloma, with a 70.4% complete response rate in BCMA/GPRC5D-naïve patients. Polatuzumab vedotin in the ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...