Boston, MA and Virtual conference
September 20–22, 2021
Meet Genedata experts at Bio-IT World to learn how Genedata transforms data into intelligence with innovative software solutions and domain-specific consulting services that automate complex, large-scale experimental processes and enable organizations to maximize the ROI from their R&D. Ask for a demonstration of Genedata solutions.
For more information about Genedata or to set up a meeting, please contact info(at)genedata.com or visit our booth #504.
W1: Digitalizing Biopharma R&D Workshop
Monday, September 20, 2021 | 08:00–09:30 am
The growing volume, complexity, and variety of new modalities, including next-generation antibodies, advances in cell and gene therapy, and vaccines, as well as the need to integrate data management across discovery and into development, has resulted in massive amounts of data that can no longer be handled using excel sheets and emails. This situation, combined with the growing demand to industrialize, automate and generally accelerate, has shown that a digital infrastructure to collect, manage, model, and analyze data is a critical foundation for success. This course will look at ways in which latest advances in data management and analytics help to increase process efficiency and quality and to identify the most promising drug candidates to quickly move forward from research into development . We will also discuss how organizations are leveraging this data for data sciences and ML approaches, for example how AI algorithms might help with immunogenicity prediction. Attend to learn more.
An Overview of Digitalizing Biopharma R&D
Sebastian Schlicker, Head, Operations – Biologics Business, Genedata
An in silico Modeling Platform for Biologics Drug Discovery & Process Development
Monica Wang, PhD, Principal Technology Lead, Scientific Informatics, Takeda
Lijuan Li, Senior Staff Engineer (CMC) in Process Modeling, Process Strategy and Development Support, Takeda
Digitalization of Biopharma R&D at Janssen BioTherapeutics (JBIO)
John Boles, Business Technology Leader, Janssen Biotherapeutics
Sanofi BioPharma R&D Transformation to Digital
Jay Randazzo, Digital Service Owner, Large Molecule Research, Sanofi
Digital Strategy for Large Molecule at Sanofi
Yves Fomekong Nanfack, Associate Director, Head of Operations Digital Biologics Platform, Sanofi
AI-Powered HCS Image Analysis with Genedata Imagence
Thomas Hasaka, Scientific Account Manager
AI for Drug Discovery and Development
Wednesday, September 22 | 11:25–11:40 am
By automating HCS image analysis across Biopharma R&D, the Bio-IT award-winning software Genedata Imagence enables scientists to apply deep learning methods to simple and complex phenotypic imaging assays. Intuitive and interactive data representations enable scientists to train neural networks within minutes for fast, automated analysis of production screens. The scalable enterprise architecture of Genedata Imagence can use on-premise compute and cloud resources to serve a global organization.