Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...