Discover how inflammation peptides are revolutionising our understanding of immune regulation, offering new avenues for ...

The discovery of new functional materials has traditionally relied on time-consuming and costly trial-and-error methods, ...

As AI initiatives move from development and proof-of-concept stages to model training and operational production, many AI ...

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

Computer code is provided to track the size and shape of deformable pigment cells in the skin of cephalopods from high-resolution video images.

Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required by Danielle Randall Doughty, Massachusetts Institute of Technology ...

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.

There are all these drugs available, sitting in your local pharmacy, but they aren’t being used to treat all the conditions ...

1. Introduction Machine Learning (ML) algorithms applied to various chemical and materials science problems sparked a scientific and technological revolution, which allows addressing fundamental ...

The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics.

Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological foundations of ...