By the 1990s, statistical approaches had become more sophisticated. Algorithms for ‘optimal design of experiments’ – still ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

This is a preview. Log in through your library . Abstract Unlike traditional approaches, Bayesian methods enable formal combination of expert opinion and objective information into interim and final ...

Panelists discuss how the BE OPTIMAL study enrolled biologic-naive patients, whereas BE COMPLETE enrolled TNF inhibitor-inadequate responders. Both populations showed similar response rates despite ...

Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

The importance of psychological distress in patients with cardiovascular disease is increasingly recognized as both a ...

Background Contemporary guidelines by the European Society for Cardiology and American College of Cardiology/American Heart Association for the treatment of non-acute myocardial ischaemic syndromes ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

The Samsung Galaxy S26 Ultra stands as a testament to the brand’s commitment to delivering innovative technology and refined design. As the flagship model of the Galaxy S26 series, it introduces a ...