NOVA University Lisbon and the Max Delbrück Center for Molecular Medicine (Berlin) met this Monday in an unprecedented strategic meeting in Portugal, which took place at NOVA's Rectory, in Lisbon, with a view to creating the Nova Institute for Medical Systems Biology (NIMSB): a new center of excellence that aims to apply emerging biomedical and digital technologies and innovative solutions in healthcare. Developing the biotechnology and information technology sectors is the objective of the NIMSB, which aims to increase productivity, economic growth and job creation.
Between 10:00 am and 1:00 pm, speakers and participants from different backgrounds gathered in auditorium A to discuss topics of the international impact that emerge from this strategic partnership, of which the following stand out: the need for personalized therapies and valuable solutions for patients, the urgency of investing in the early prevention of chronic diseases (cancer is an example), the sharing of information between patients who must be involved in different initiatives and in different stages of the process, bringing a new angle to global research.
“Move Medicine to a prevention process” is the goal of Nikolaus Rajewsky, founder and scientific director of the Berlin Institute for Medical Systems Biology (BIMSB, MDC), for whom the evolution of molecular medicine is the master key to success that depends on placement. of important clinical issues. Understanding the molecular content, the way it interacts with cells, their unique detection and how they are grouped together are essential data that can improve the European health system.
For António Jacinto, coordinator of the NIMSB, it is urgent to “join this ecosystem/this network” and understand what kind of activities and projects it is necessary to bring together in favor of a collaborative and innovative final result that “speaks the same language” and with personalized applicability, fighting for a “financed protected time” for medical scientists. Professor Nobert Hübner, a researcher at the BIMSB, summarizes the ultimate goal: “to find massively applicable biomaps”.