Daniele Zink studied Biology at the University of Bielefeld (Germany) and earned her PhD from the University of Heidelberg in 1995 where she worked in the fields of developmental biology and epigenetics.
S3: Integrated Alternative Methods in Predictive Toxicology
Big data is a term that describes the collection, management, and use of voluminous data sets of large variety that are often rapidly changing.
Accurate prediction of in vivo organ-specific toxicities based on in vitro or in silico models remain very challenging.
Through OpenTox we have aimed to provide access to an increasing amount of scientific data, new methods and resources and to bring people, science, technology and data together into a community effort...