Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

Predictive maintenance in the food and beverage industry offers key opportunities by enhancing equipment reliability, ...

The final, formatted version of the article will be published soon. Continuous monitoring of the cutting tool insert's condition is essential to enhance product quality and efficient machining process ...

Wave’s history, the company made a decision to pursue annealing as its first technology to build a quantum computer because ...

A new leaf imaging system lets scientists watch plant stomata control water loss and carbon uptake in real time.

Abstract: Radiology reports, as a means of inter-physician and physician-to-patient communication, contain key findings and interpretations from imaging studies that guide diagnosis and treatment.

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...

Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, India Introduction: As artificial intelligence (AI) becomes increasingly embedded in educational environments, ...

A random-effects model was leveraged for meta-analysis of the C-index, which was 0.84 (95% CI 0.80-0.88). The most significant predictors for VTE were age, D-dimer, and VTE history. Conclusions: ...