A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Researchers have built a machine-learning model that can distinguish between Alzheimer’s disease, dementia with Lewy bodies, ...

CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Can AI predict your personality? New research shows machine learning can deliver DISC assessments 4x faster and with 93% accuracy. Learn how data science is identifying "hybrid" personality types and ...

Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...

The objective of this project is to build and compare multiple machine learning classification models to predict wine quality. The task involves classifying wines into two categories: Good Quality ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Abstract: Tabular data, structured as rows and columns, is among the most prevalent data types in machine learning classification and regression applications. Models for learning from tabular data ...