Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

Recent research has shown that using machine learning is an efficient approach to look for these molecules. Though machine ...

Every year, the hepatitis C virus affects more than 200 million across the world. Machine learning can drastically reduce ...

Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Discover how cutting-edge tools and analytics are advancing cell therapy, improving precision, safety and scalability in ...

Current approaches in bioengineering are synthesized and methods for their implementation are suggested for the induction and modulation of trained immunity in the treatment of human diseases.

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

The new Community Edition Model Context Protocol server supports agentic workflows and generative AI use cases, with a ...

AR teams are undervalued and underappreciated across businesses despite the role they play in keeping operations moving. Kush Shah sets out the case, not just for modernisation but how business values ...

Non-small cell lung cancer (NSCLC) accounts for over 80% of lung cancer cases and is often diagnosed at advanced stages, ...

E-learning has opened up opportunities for students across the globe, providing access to education from anywhere. However, ...