The Role of FAIR guiding principles for an effective Learning Health System
The learning health system (LHS) is an integrated social and technological system that embeds continuous improvement and innovation for the effective delivery of healthcare. A crucial part of the LHS lies in how the underlying information system will secure and take advantage of relevant knowledge assets towards supporting complex and unusual clinical decision making, facilitating public health surveillance, and aiding comparative effectiveness research. However, key knowledge assets remain difficult to obtain and reuse, particularly in a decentralized context. In this talk, I will discuss the role of the Findable, Accessible, Interoperable, and Reusable (FAIR) Guiding Principles towards the realization of the LHS, along with emerging technologies to publish and refine clinical research and knowledge derived therein.
Michel Dumontier (Maastricht University, The Netherlands)
Actionable Machine Learning for Drug Discovery and Development
Marina Zitnik (Department of Biomedical Informatics, Harvard University., USA)
Associate Member at Broad Institute of MIT and Harvard.