Drug discovery is ripe for disruption. A time consuming and expensive process, taking years and costing billions, the industry is crying out for faster and more accurate drug targets to test at clinical trials. However technology has not been able to keep up, until now. A panel of leaders discuss the future possibilities and applications, moderated by Steve Carney, Editor at Drug Discovery Today. Speakers include:
Panel title: How AI, machine learning & big data are disrupting the drug discovery & development landscape for faster and more accurate lead identification
Date: Wednesday May 11th
Time: 14.00-14.45
He has a background in molecular genetics and bioinformatics and has over 15 years of experience working on biomedical data representation, data analysis and application development. In 2001, he joined the London based biotechnology company Inpharmatica, where he was initially working on mining the output of the Human Genome Projects and eventually moved on to building Chemogenomics systems used by pharmaceutical companies, such as Bayer. Mark moved to the European Bioinformatics Institute (EMBL-EBI) as one of the founding members and technical lead for the ChEMBL resource - the largest open-source SAR database. Mark was also responsible for the successful transition of the SureChEMBL chemical patent system from Digital Science to the EMBL-EBI
