Public health (PH) data can generally be characterized as big data. The efficient and
effective use of this data determines the extent to which PH stakeholders can sufficiently …

Although precision medicine has made advances in individualized patient treatments, there
needs to be continued attention on tailored population health and prevention strategies …

Precision health informatics is revolutionizing healthcare by leveraging big data and artificial
intelligence (AI) to deliver personalized healthcare solutions. This paper explores the …

Objectives: To review technical and methodological challenges for big data research in
biomedicine and health. Methods: We discuss sources of big datasets, survey infrastructures …

Biomedical research has and will continue to generate large amounts of data (termed 'big
data') in many formats and at all levels. Consequently, there is an increasing need to better …

It has been argued that big data will enable efficiencies and accountability in health care. 1,
2 However, to date, other industries have been far more successful at obtaining value from …

Big data is increasingly the cornerstone on which policy making is based. However, with
potential benefits and applications come challenges and dilemmas. In this set of symposium …

Background Nowadays, trendy research in biomedical sciences juxtaposes the term
'precision'to medicine and public health with companion words like big data, data science …

Because of the vast availability of data, there has been an additional focus on the health
industry and an increasing number of studies that aim to leverage the data to improve …

O uso de big data tem crescido em todas as áreas da ciência nos últimos anos. Existem três
áreas auspiciosas para o uso de big dataem saúde: medicina de precisão (precision …