Text mining allows organizations to extract unstructured data to inform key decisions and speed up the drug discovery pipeline.
In this webinar, AstraZeneca will present how, through their collaboration with PatientsLikeMe (PLM), they were able to examine differences in Nausea adverse reactions (AR) frequencies between patient on-line self-reported data, and data from FDA Drug Product Labels extracted using I2E, Linguamatics Life Science text mining platform.
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Speakers:
Nina Mian, Head of Biomedical Informatics, Advanced Analytics Centre at AstraZeneca
Nina Mian, MSc, MBA leads the Biomedical Informatics Group, part of the Advanced Analytics Centre at AstraZeneca. This global-team pioneers the use of novel visualization methods and advanced analytical tools to improve drug development decision-making. Nina’s research interests include initiatives focused on creating patient-centred insights. Nina holds degrees in Biochemistry and Informatics, and an MBA from Manchester Business School, UK.
Jane Reed, Head of Life Science Strategy, Linguamatics
Jane Reed leads the strategic vision for Linguamatics’ growing product portfolio and business development in the life science domain. Jane has extensive experience in life sciences informatics. She worked for more than 15 years in vendor companies supplying data products, data integration and analysis and consultancy to pharma and biotech - with roles at Instem, BioWisdom, Incyte, and Hexagen. Before moving into the life science industry, Jane worked in academia with post-docs in genetics and genomics.
