Researchers have developed a data-driven model of how organs develop in order to more quickly determine safe drug doses for […]
Julia Gog, University of Cambridge, mathematical epidemiologist, explains in a Nature Physics review article, how physicists and mathematicians with no […]
As Global Head of Knowledge Management in Pharma Technical Development for Fa. Hoffmann-La Roche in Basel, Switzerland, Etzard’s focus is […]
Researchers have demonstrated that an in-silico approach, using virtual patient data, was able to replicate clinical trial results and investigate […]
A recent study has explored the concept of a modern and collaborative approach to data-driven drug development called Translational Precision […]
Researchers from around the world have collaborated to develop a genomic computer system to show how some genetic mutations can […]
Due to the complex nature of central nervous system diseases and the presence of the blood-brain barrier (among other factors), […]
Marine organisms are expected to be an important source of inspiration for drug discovery. At present, very few databases exist […]
A recent study carried out a comparative evaluation of network-based machine learning algorithms for network link prediction in the application […]
Researchers from Purdue University have created a new method of bootstrapped machine learning applied to the tandem mass spectrometry process, […]
