Research published through UCLA establishes frameworks for bilingual students' learning in digital mathematics environments, addressing ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Quantitative CT metrics can be used to define progressive pulmonary fibrosis and have prognostic value in patients with ...

Objective Transcortical pores and the bare area have been suggested as structural determinants of bone erosions in rheumatoid ...

This push for deeper, sector-specific data aligns with how quantitative teams are currently applying AI in practice. According to the survey, the most common use case for AI is generating insights for ...

Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

Organoids are three-dimensional miniature models of organs, grown in a dish. They have become a valuable tool for studying ...

The best essay boils down to the strongest argument. So, if you find yourself struggling to come up with one, drop the ...

Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...

Introduction The increasing incidence of type 2 diabetes mellitus (T2DM) among women of reproductive age poses significant health risks for both mothers and their fetuses. Optimising blood glucose ...

Early diagnosis and noninvasive monitoring of neurological disorders require sensitivity to elusive cellular-level ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...