Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Skin cancer impacts millions of Americans annually, but your chances of getting skin cancer and when it is diagnosed depend ...

The technology works like a translator, not a mind reader – It converts brain scan patterns into coherent sentences by ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Imagine walking into a factory where machines can think ahead, predict problems before it happens, and automatically make adjustments to realise peak performance. By Johan Potgieter, cluster ...

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.

Whether infection of cells by individual virions occurs randomly or if there is some form (s) of competition or cooperativity between individual virions remains largely unknown for most virus-cell ...

A Regional Analysis Based on Tourism, E-Commerce, and Education Sectors This study assesses the impact of China’s Value-Added Tax (VAT) and Individual Income Tax (IIT) reforms on per capita income ...

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...