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 ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.

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

While generative AI is about making new things, predictive AI is about making informed guesses about what’s coming next, backed by solid data analysis. It’s less about flair and more about reliable ...

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

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

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 ...