D4 Global - Data-Driven Discovery and Development in Pharma R&D

Topics

• Investment and achieving ROI
• The economics of data-driven drug R&D
• Innovation in R&D data platforms
• Pioneering AI/ML case studies with real data
• Optimising the data lifecycle
• Data and culture
• FAIR data
• Digitization of pharma R&D
• Data integration, analysis and interpretation
• Knowledge management and data structuring
• Target discovery, validation and prioritisation
• Pipeline management
• Preclinical development
• Drug discovery, design and repurposing
• Advanced translational approaches
• Clinical development and endpoint design
• Real world data and evidence
• Data as a key driver in COVID-19 therapy development
• Building representative data sets
• Patients and patient data
• Regulatory frameworks
• Mapping disease trajectories

Who should Attend

Pharma professionals involved or interested in:

• Data-driven approaches in every aspect of drug discovery and development
• The use of data-driven approaches via the development of better data/IT infrastructure
• Real world and clinical data to support a new era of drug development