Data Science and the rise of new analytical Techniques
The evolution of the Clinical Development Paradigm and Biostatistics
The application of big data analytics like machine learning and artificial intelligence holds the potential to transform drug development by means of improved patient outcomes, identification of new treatments and reduced costs and development time.
This transformation is encouraged not only from the development of the analytical techniques, but also from the ever-expanding availability of data from legacy data, clinical trials, medical records from participants in data collection initiatives as well as the even broader “real world”.
The enrichment of biological, clinical and patient preference large-scale data will enable computational inference more relevant to real-world pharmaceutical research, particularly in the areas of:
- identification of predictive factors for patient response
- more efficient clinical trial management and recruitment
- supplementing clinical trial data with real world data
- drug candidate selection and pipeline development
- orphan drugs, rare diseases and drug repurposing
The 11th edition of the European Statistical Forum is therefore dedicated to understanding how these new techniques are changing the drug development paradigm and in particular how the role of the biostatistician will evolve and will interact with these new approaches. In scope are presentations for example on:
- Regulatory views on the new analytical techniques incorporating data science elements
- Advanced methods for response prediction or subgroup identification
- Novel approaches to trial design incorporating flexible elements for patient stratification
- Innovative ways to incorporate real world data into the clinical study design or analysis
- Early identification of Adverse Drug Reactions
- Real case studies of collaboration between biostatisticians and data scientists
- Opportunities and risk with novel data science methodology.
The conference aims at promoting the exchange of expertise, bringing together statisticians, physicians, regulators, academia and other experts interested in the field of safety data analysis, signal detection and risk management.
The European Statistical Forum conference will be preceded by a seminar / training on data science and machine learning methodology.
Jens-Otto Andreas - Head Statistical Sciences & Innovation - Bone & New Diseases at UCB Biosciences GmbH
Lisa Comarella - Director Biostatistics at CROS NT
Giacomo Mordenti - Director, Statistics & Data Management at Livanova
Marc Vandemeulebroecke - Global Group Head for Dermatology at Novartis Biostatistics
Who should attend?
The conference is addressed to statisticians, pharmacometricians, physicians, regulators, academia and other experts interested in the field belonging to:
- Pharmaceutical, and Biotechnology companies
- Academic Research