Knowledge from human relevant cell, tissue and mathematics-based methods as key tools for understanding COVID-19

The Coronavirus Pandemic and the Future: Virology, Epidemiology, Translational Toxicology and Therapeutics

Diagnostic tools, preventive and curative strategies will be possible using knowledge from the new generation of in vitro and in silico methods and related technologies

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Knowledge from human relevant cell, tissue and mathematics-based methods are key tools for understanding COVID-19 dynamics, kinetics, symptoms, risk factors and treatments. Cross-community research on SARS-CoV-2 is essential to understand its detailed pathophysiology and mechanisms of infection, host-virus interactions, replication kinetics and targets for therapeutic screening. Greater investment and innovative methodological approaches are needed to accelerate knowledge gathering on SARS-CoV-2 in all the aspects of the disease. Due to the seriousness of the global health situation with this extraordinary crisis of the human race caused by COVID-19, medical researchers, cell biologists, life science experts, mathematical modelers and bioengineers across the world are actively collaborating to accelerate the rapid development of the relevant cell, tissue and mathematical methods to gain detailed mechanistic knowledge of this new disease. This global collaborative knowledge sharing effort will assist in the unravelling of mechanistic understanding of SARS-CoV-2 kinetics and dynamics. Consequently, almost in real time innovative solutions for developing diagnostic tools and providing preventive and curative strategies will be possible using knowledge from the new generation of in vitro and in silico methods and related technologies.

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