Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...

Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...

Aim To understand whether the risk of complications following paediatric cardiac surgery differs according to a child’s ...

The test, developed by Astrin Biosciences, utilizes deep proteomic profiling and a machine learning classifier to identify ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

By comparing clinical cohorts and populations from Singapore and the US, researchers will study infectious diseases, corneal disorders, liver transplant outcomes, diabetes and lung cancer to uncover ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...

Background The COVID-19 pandemic reversed a decade of progress in reducing child food insufficiency in the United States.