Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...

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 ...

A transformative decade for the global workforce. The decade has seen a heavy change in career choices and jobs being ...

JMIR Publications, a premier open access publisher of digital health research, and The MidSouth Computational Biology and Bioinformatics Society (MCBIOS), a leading professional organization for ...

This article introduces the field of bioinformatics and its importance as a cornerstone of biological research, as well as its history from the comparative analysis of the first amino acid sequences ...

Integrating AI models with the medical domain is challenging as it involves more complex workflows compared to traditional machine learning operations (MLOps). Requirements such as model performance ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares.

Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...

This is read by an automated voice. Please report any issues or inconsistencies here. The coastal city of El Segundo is an unlikely location for a massive, new artificial surf park. Other California ...

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...

Department of Chemistry, Waterloo Data and Artificial Intelligence Institute and Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada ...