The life science industry is discovering the power of artificial intelligence (AI) and has started leveraging it in various aspects of research and development.

Different techniques and machine learning (ML) algorithms, including natural language processing, have emerged and are helping in gathering, analysing and even interpreting the huge data arising out of RWE databases. Similarly, Predictive analytics are a new reality and can change the way we discover and market new drugs.

Indeed, up to a recent past, observational research tools were, in the great majority, simple palliatives to the ones used in randomized clinical trials, trying to accommodate the lack of rigor and the many biases of observational data. For the first time in history, newly developed observational research techniques and tools are unique to big data and do not necessarily overlap with the traditional statistical approaches used in pivotal registrations trials.

The objective of this conference is to familiarize the audience with the new capabilities that are being made available in the field of artificial intelligence and machine learning in relation to its application to real world data.
Beyond the hype, EPI Forum will address the benefits and limitations of this new approach and discuss how it can complement traditional observational studies.
Understanding the scope and depth of AI and machine learning is important in the current environment. Speakers with experience in AI/ML will share insights and illustrate the subject with examples and demonstrations.

The EPI Forum Scientific Board
Christian Agboton - Sr Global Brand Medical Director at Takeda
Maurille Feudjo Tepie - Observational Research Director at Amgen

is inviting you to this unique event, where you will be able to understand how AI/ML can complement or in some cases increase the value of current approaches using real world data.

Who should attend?
The conference is addressed to professionals with a deep interest in drug development, healthcare decision making, academia and healthcare research, belonging to department such as: Medical Affairs, R&D, HTA/Market access, Medical Informatics, Clinical Operations, Regulatory Affairs, Pharmacovigilance, Biostatistics and Data Management from Pharmaceutical, Biotechnology and Medical Device companies, CROs, Universities/Hospitals, Academic Research, Patient Associations and Healthcare Organizations.


We’re working on the programme 9:30 AM – 4:00 PM CET (TBC)
More details available soon

Christian Agboton
Info Scientific Board

Christian Agboton

Sr Global Brand Medical Director at Takeda
Christian J. Agboton currently serves as Senior Global Brand Medical Director at Takeda based in Zurich, Switzerland. He previously served as Medical Director of Biosimilars Immunology / inflammation at Sandoz and Hospira/Pfizer. Christian also worked at GSK vaccines, Merck Serono and UCB Pharma in Clinical and Medical Affairs roles. Channeling innovation to deliver evidence while keeping quality and timelines has always been at the heart of his approach to data generation. Christian is Fellow of the Royal Faculty of Pharmaceutical Medicine (FFPM).
Maurille Feudjo Tepie
Info Scientific Board

Maurille Feudjo Tepie

Observational Research Director at Amgen
Dr. Maurille Feudjo Tepie is an Observational Research Director at Amgen and leads the Amgen European Team of the Centre for Observational Research. Prior to joining Amgen in 2009, he spent six years in the Worldwide Epidemiology Department at GSK. Maurille obtained his PhD in Medical Statistics from the London School of Hygiene and Tropical Medicine and then completed a one year post-doctoral fellowship working on a collaborative methodological project between the Worldwide Epidemiology Department of GSK and the London School of Hygiene and Tropical Medicine, under the supervision of Profs Stuart Pocock and Steven Evans. He has considerable experience designing and executing appropriate observational research strategies to inform drug development and drug commercialization and; is a keen contributor to scientific discussions pertaining to the challenges and/or opportunities offered to regulators, payers, academics, prescribers and to the bio-pharmaceutical industry by advances in computing science and the increased availability of real world data. He has been active in European-wide initiatives aimed at improving biomedical research (IMI PROTECT and EMIF) and is also the chair of the PSI Epidemiology Special Interest Group.

Valeria Quintily
Project & Scientific Manager

Ilaria Butta
Events & Training Executive

Registration Fee

€ 410,00* Super Early Bird fee until May 28th, 2021
€ 490,00* Early Bird fee until September 5th, 2021
€ 630,00* Ordinary fee
€ 290,00* Freelance, Academy, Public Administration

* for Italian companies: +22% VAT

Fee includes: access to the virtual conference, organizational support, certificate of attendance, slide presentations in pdf format provided post-conference.

Past Conferences
The Value of RWE in Drug Life Cycle: promises, barriers and pathways to success
New Approaches to Drugs Value Demonstration in the Age of Big Data: Anatomy of a Paradigm Shift
From volume to value. The use of Real Word Evidence to improve clinical programs and patients’ lives
Real World Data and Pharmacoepidemiology in Europe: understanding the importance of RWD in today’s setting
Observational Research and Pharmacoepidemiology in Europe: deeper insights to drive health research and discovery
European Epidemiological Forum
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Super Early Bird
Available until 28/05/2021
Early Bird
Available until 05/09/2021
Available until 04/10/2021
Freelance – Academy – Public Administration
Available until 04/10/2021

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<p>Virtual conference with presentations, slots for Q&amp;A and discussion among delegates.<br />
<em>LS Academy will provide the link to join the conference some days before.</em></p>

Virtual conference with presentations, slots for Q&A and discussion among delegates.
LS Academy will provide the link to join the conference some days before.

<p>Virtual conference with presentations, slots for Q&amp;A and discussion among delegates.<br />
<em>LS Academy will provide the link to join the conference some days before.</em></p>