Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

This report explores the critical field of plant disease recognition through the use of various machine learning algorithms. As agriculture faces increasing challenges from pathogens and diseases, the ...

The present study focuses on the challenge of identifying anemia in children under 5 years of age. in the departments of Cusco, Moquegua, Puno, Tacna and Arequipa, considered as the southern zone of ...

Reliably predicting heterogeneous photocatalyst efficiency using machine learning (ML) remains challenging, because of variations in synthesis protocols and evaluation methods. To address this, we ...