Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

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.

New data reveals where Americans stand in the gold vs. Bitcoin debate – who prefers what now, what might shift, and why trust ...

In a world increasingly shaped by artificial intelligence, the question of how machines make decisions under uncertain ...

Researchers from SANKEN (The Institute of Scientific and Industrial Research) at The University of Osaka have developed a new ...

Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it ...

Okay, I’ll be honest – when my neighbor told me bouncing on a trampoline could burn as many calories as […] The post Does ...

Renmin University researchers present a comprehensive survey of sampling- and sketch-based algorithms for distinct value estimation in big data, offering insights to accelerate database queries, ...

Explore how news influencers are using social media, namely Bluesky and Twitter/X, after the 2024 election, with platform ...

This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...

Machine learning is a key technology to design and develop products, systems, and even services. In particular, image classification using deep learning has been successfully applied to many fields.

This paper proposes a new physics-guided machine learning approach that incorporates the scientific knowledge in physics-based models into machine learning models. Physics-based models are widely used ...