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 ...

The kidney is one of the body's most vital organs, responsible for filtering waste, balancing electrolytes and maintaining overall health. Any impairment to its function can lead to serious and often ...

Researchers explored how machine learning and quantum computing can be used to improve early detection of chronic kidney ...

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

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 ...

Discover how Subrahmanyasarma Chitta's IoT-based healthcare system is revolutionizing global medicine through real-time ...

Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...

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

We must address the core architectural weaknesses that make SaaS and the rapid proliferation of AI tools a prime target for ...