ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, ...
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
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 ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...