Seminar Room, Champalimaud Centre for the Unknown, Lisbon
Scientific Workshop / 2:30pm – 4:15pm
“Complex Networks & Systems in Biomedical Research: Challenges and Knowledge Gaps”
The CBeRa ERA Chair project will be introduced to the Portuguese scientific community and general public. Pedro Simas and Luis Rocha will present the institutional goals and research vision of the project, focusing on how complex systems methods complement machine learning approaches to biomedical prediction. This will be followed by a roundtable discussion with the project’s advisory board, stakeholders, and invited scientists working on network and computational biomedicine, complex systems, machine learning, artificial intelligence, and related areas. The aim of this informal roundtable discussion is to identify gaps and synergies in the Portuguese and European research landscape. Discussants include: Claudi Bockting, Soren Brunak, Francis Crawley, Antonio Coutinho, Ana Teresa Freitas, John Krakauer, Francisca Leite, Pedro Lima, Jorg Menche, Paulo Navarro-Costa, Bernardete Ribeiro, Isabel Rocha, Miguel Rocha, Francisco Santos, Johannes Stelzer, Alfonso Valencia, Susana Vinga, and others.
Keynote Talk / 4:30pm – 5:30pm
“Network science and machine learning in biomedicine: The case of population-wide health data from Denmark”
Søren Brunak Professor at the University of Copenhagen and Research Director at the Novo Nordisk Foundation Center for Protein Research
“As populations are aging disease patterns are becoming increasingly complex. Patients often suffer from many illnesses simultaneously over the life course. Health data on heterogeneous phenotypes are at the same time accumulating by way of electronic patient records in the healthcare sector, in biobanks and in numerous multi-omics cohort studies. This data richness has given rise to the idea of looking at humans as model organisms, where results can be of direct relevance to healthcare without the need to transfer results from the animal setting. The talk will discuss how to use network concepts to analyze multimorbidity data at scale from millions of patients, and present machine learning approaches of relevance for the understanding of complex disease etiologies and the precision medicine agenda.“
Networking Soirée / 5:30pm – 6:30pm
