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

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

GSK’s own proprietary platform is called Cogito Forge. It is not a standard AI search model, but one that uses ‘agents’ that ...

Both the UK and US Governments have pledged to end research using animals, but is such a goal realistic? And how might it change medical research? Talha Burki reports.

Abstract: Context: Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential ...

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

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...