The global pandemic showed the critical importance of integrating fundamental , computational and clinical research to promote systemic understanding of a global threat to humankind. Global epidemiological assessments informing national and regional policy-making around the world were only made possible due to fundamental mechanistic knowledge of coronavirus biology dating back decades, large-scale data on human mobility patterns enabled by recent technologies, as well as massive onsite and dynamic clinical reporting from health institutions.
It is now clear that complex human diseases can only be tackled by transdisciplinary efforts that integrate fundamental, computational, and clinical research. This is not, however, an easily achievable feat, as fundamental laboratory discoveries are often not directly transferable into clinical settings, with controlled experiments not necessarily reflecting organismic and societal complexity. Only with synergy between fundamental researchers, clinicians, and data scientists can we hope to gain the depth of understanding required to address the physiological mechanisms behind some of the most challenging human diseases at the interface between hosts and pathogens.
The goal of the [3C] Cells, Computers & Clinics Symposium is to do exactly that, to bridge fundamental, computational, and clinical research in the scope of complex diseases, particularly those related to host-pathogen interactions.