Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

Objectives Hand, foot, and mouth disease (HFMD) has caused a substantial burden in China, especially in Guangdong Province. Based on the enhanced surveillance system, we aimed to explore whether the ...

Abstract: As mobile applications increasingly support essential daily and mission-critical services, ensuring their performance and reliability has become a top priority. Addressing this need, the ...

fastml is an R package for training, evaluating, and comparing machine learning models with a guarded resampling workflow. Rather than introducing new learning algorithms, fastml focuses on reducing ...

Multiomics data integration approaches offer a comprehensive functional understanding of biological systems, with significant applications in disease therapeutics. However, the quantitative ...

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort Current precision medicine (CPM) matches patients to ...

Growing theoretical and experimental evidence demonstrates that cells can (and do) spend biochemical energy while regulating their genes. Here, we explore the impact of departing from equilibrium in ...

Stratospheric sulfate aerosols from large volcanic eruptions reflect incoming sunlight and cool climate, but this process is not well quantified due to a limited observational record. Here, we take ...

The net zero transition and the digital transformation are the two most powerful forces of the 21st century. There are promising signs that artificial intelligence (AI) can support climate action, but ...