Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …

This study examines the privacy protection challenges in data sharing between
organisations and third-party entities, focusing on changing collaborations in the digital age …

Artificial intelligence (AI) is a transformative technology with a substantial number of practical
applications in commercial sectors such as healthcare, finance, aviation, and smart cities. AI …

To date, the use of synthetic data generation techniques in the health and wellbeing domain
has been mainly limited to research activities. Although several open source and …

The collection of user attributes by service providers is a double-edged sword. They are
instrumental in driving statistical analysis to train more accurate predictive models like …

AI-based data synthesis has seen rapid progress over the last several years and is
increasingly recognized for its promise to enable privacy-respecting high-fidelity data …

Use of administrative data for research and for planning services has increased over recent
decades due to the value of the large, rich information available. However, concerns about …

The microbial communities of the human body are subject to extensive research efforts. The
individual variations in the human microbiome reveal information about our diet, exercise …

With ever increasing capacity for collecting, storing, and processing of data, there is also a
high demand for intelligent knowledge discovery and data analysis methods. While there …

Due to its high potential for analysis in clinical settings, research on the human microbiome
has been flourishing for several years. As an increasing amount of data on the microbiome …