Technological innovations including risk-stratification algorithms and large databases of
longitudinal population health data and genetic data are allowing us to develop a deeper …

Neuroscience research is producing big brain data which informs both advancements in
neuroscience research and drives the development of advanced datasets to provide …

Current challenges to sustaining public support for health data research have directed
attention to the governance of data-intensive health research networks. Accountability is …

NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the
aim of making it more predictive, preventive, and personalised by advancing translational …

Artificial intelligence and machine learning (AI/ML) tools have the potential to improve health
equity. However, many historically underrepresented communities have not been engaged …

We discuss the implementation of Responsible Research and Innovation (RRI) within a
project for the development of an AI-supported exergame for assisted movement training …

Background: In many areas of health care, learning health care systems (LHSs) are seen as
promising ways to accelerate research and outcomes for patients by reusing health and …

Abstract Introduction While Learning Healthcare Systems (LHSs) have received increasing
attention in health care and research, the amount of operational LHSs remains limited …

Resolving the Coronavirus Disease 2019 (CAU: PleasenotethatCOVID À
19hasbeendefinedasCoronavirusDisease20 OVID-19) pandemic is hamstrung by emerging …

The ambition for this book is to demonstrate how higher education institutions (HEIs) can
respond to societal challenges, support positive social change and influence the …