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WEBINAR: Natural Language Processing (NLP) and Text Mining: a Help in Daily Pharmacovigilance Activities
How to exploit “machine aided” technologies to increase the effectiveness of Pharmacovigilance procedures
“Information overload” is already a problem in Pharmacovigilance activities.
PV executives and managers, in fact, need to monitor and evaluate huge amounts of data (most of which unstructured) on an ongoing basis.
A few “cutting edge” technologies (Natural Language Processing, Text Mining and in some cases also Artificial Intelligence) can now aid in this effort, allowing experts to concentrate only on the most relevant aspects of their work.
- GVP searching
- Literature scanning and summarization
- Text mining in medical reviews
Marco Anelli has been appointed in January 2016 “Head of Pharmacovigilance and Medical Affairs Advisory Services” at PLG. As “Deputy Chief Scientific Officer” of PLG, Marco coordinates all delivery and research projects (internal and on behalf of clients) linked to Big Data, Knowledge Management, Artificial Intelligence and Machine Learning.
Previously, Marco was R&D Director at Keypharma, an Italy-based ProductLife Group company, where was responsible for the coordination of all clinical and preclinical aspects of projects run internally and on behalf of clients. Drawing on a career in the pharmaceutical industry that spans 25 years, Marco provides expert oversight on a wide range of R&D and Medical Affairs related activities. Marco has participated in and coordinated all stages of drug development – from formulation to Phase I-IV and pharmacovigilance. In addition, Marco is a qualified QPPV and has prepared and overseen more than 200 non-clinical and clinical overviews and summaries. Before joining Keypharma and PLG, Marco was Medical Affairs Director at Eurand. In the last few years, he has extensively worked in the fields of pharmacoeconomics and health technology assessment.
He has a medical degree from the University of Milan, specializations in Medical Statistics and Clinical Pharmacology from the University of Pavia and an international master’s degree in health economics and pharmacoeconomics from the University of Pompeu Fabra in Barcelona, along with formal training in Data Science (Johns Hopkins University) and a Professional Certificate on Applied AI from IBM.
Pharmacovigilance executives and managers, Medical reviewers.
Basic knowledge of Pharmacovigilance environment and procedures.
Webinar - Lecture, case hystory and Q&A session
Webinar online: 15 April 2020 at 11.00 am
After the registration you will receive all details about the connection
Tuesday, April 14, 2020
At the end of the training, you will be able to
Have a basic knowledge of existing and future machine-based technologies, in order to evaluate the potential usefulness of their application in his/her domain