Oxford Global is proud to present our 2nd Annual Neuroscience Drug Discovery Congress, taking place 26 – 27 May 2020 in Berlin, Germany, which will bring together key leaders and influencers from global pharmaceutical organisations and leading academic research institutions. Discover the latest developments and critical approaches in neuroscience discovery, alongside cutting-edge enabling tools and technologies for developing neurological treatments.
The congress encompasses the emerging trends and technological breakthroughs in drug discovery for neurodegenerative diseases, together with presentations on advancements in stem cell technologies to fuel drug discovery and iPS cells in disease modelling. On Day 2, we aim to emphasise the importance of targeted therapeutics and the crucial roles of biomarker development and gene therapy in drug discovery and translational neuroscience.
Key speakers include:
• Emilio Merlo Pich, Executive Director Neurology & Quantitative Medicine Neuroscience Therapeutic Area, Takeda
• Andreas Hartmann, Executive Director PreClinical Safety, Therapeutic Area Head, Novartis
• Ross Jeggo, Head of Research, Neuropsychiatry Centre for Therapeutic Innovation, Servier
View the Agenda: https://bit.ly/2rYH2kT
With over 20 unmissable presentations, the two-day congress offers an intuitive platform for high level scientific and business discussions, ensuring valuable networking and interactive sessions.
This events form part of the R&D Series EU and are co-located with our 21st Annual Drug Discovery Summit and 8th Annual Drug Design & Medicinal Chemistry Congress
For more information contact firstname.lastname@example.org or visit the website: https://bit.ly/2PfND2z
Go Social: Join our Drug Discovery & Development Network on LinkedIn, follow us on Twitter @drugdiscovery1 and & join the conversation at #RNDSeries20
Predictive Model Approaches For Pharmacokinetics And Pharmacodynamics In CNS Discovery
Hosted by Elizabeth de Lange, Professor in Predictive Pharmacology, LACDR, Leiden University
Register (free): https://bit.ly/2RQHjBg