Twenty-six young francophone African researchers strengthened their skills in research, data analysis, and scientific writing during the summer school and thematic workshop conducted by Afrobarometer ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be used to analyze samples returned by current and ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be ...

EMR dataset, the Chinese University of Hong Kong's diabetes model is now being expanded to cover other chronic diseases.

The findings show that cryptocurrency adoption has become a decisive global catalyst. The effect is especially strong in ...

Background Acute upper gastrointestinal bleeding (AUGIB) is a common medical emergency with evolving demographics and ...

Objectives Understanding contextual drivers of family planning is crucial for designing effective, context-specific policies and programmes. This study aimed to assess (1) the extent to which province ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

New research shows historic European heat waves could kill 32,000 in a week at 3°C warming, matching COVID's deadliest weeks.

Objectives To examine state-level variation in mental health screening practices for high school athletes in the USA and ...

In the age of big data, surveillance systems capture vast amounts of information, but the bottleneck lies in interpretation for timely public health action. Heatstroke is a textbook example of ...