How To Build Robust Predictive Human Organ Models To Improve the Prediction of Drug ADME Parameters
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Despite billions in annual investment, most drugs never reach the market because preclinical experiments fail to predict human effects. In this webinar, we will cover why in vivo models only deliver an approximation of what is likely to happen in the human body and why building more predictive, human-relevant models is key to reducing drug attrition. During the webinar we will introduce ADME scientists to the field of microphysiological systems (MPS), also known as organ-on-a-chip (OOC).
We will explore how MPS technology can be implemented to create human-specific tissue models such as the gut and liver and interconnect them into systems that generate clinically translatable data. We will demonstrate how a deeper and earlier knowledge of human drug ADME profiles enables issues to be addressed prior to costly preclinical studies.
The webinar will conclude by highlighting how the complementary use of MPS bridges the human-relevance gap, facilitating the confident selection of safer and more effective drug candidates, whilst also reducing costs.
This webinar is sponsored by CN Bio Innovations.
Marco Ortiz
CN Bio
Marco Ortiz has experience in developing cell types as commercial products and clinical therapeutics. In his most recent role, he performed preclinical experiments of iPSCs derived hepatocytes for acute liver diseases as a potential indication. Marco Ortiz completed a bachelors in genomic sciences working at the University of Wisconsin-Madison and completed a UCL Wellcome Trust PhD programme at the Francis Crick Institute.