While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
For millions of immigrants, arriving in a new country means navigating not just cultural shifts but economic hurdles.
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
In recent years, the field of radar and remote sensing has experienced significant advancements due to the evolution of signal processing techniques and the ...
Financial markets (and more generally the real economy) display a wide range of important nonlinearities. This paper focuses on stock returns, which are skewed left – generating crashes – and whose ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Translational modelling has emerged as a critical approach in environmental health and pharmacology, offering new pathways to predict human health risks ...
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