D4 Europe - Data-Driven Drug Development

D4 Europe - Data-Driven Drug Development is organized by Front Line Genomics and will be held from Oct 02 - 03, 2019 at Hyperion Hotel Basel, Basel, Basel-Stadt, Switzerland.

Description:
D4 Europe is ram packed full of case studies – opportunities to get into the weeds, learn and be inspired. Broken down into two sections (‘Enabling Science’ and ‘Doing Science’), every session has been carefully screened to ensure that data and evidence is presented to back up the incredible work that’s being pioneered within pharma companies. This is a deep-learning environment.

The format is simple. 100 senior technical and scientific leaders in the same room. This is designed to ensure that you leave the event not just armed with new knowledge, but with a renewed list of contacts who you’ve actually had the time to spend time getting to know. Don’t commit to a 1000 person meeting where you learn nothing and get face-time with no-one for longer than two minutes. D4 Europe is a harbour from the storm, where you can spend two highly; productive days in a friendly, welcoming environment where you will meet the right people and develop the right relationships to move your biodata capabilities forward.

Key Benefits of Attending:
• Learn and get inspired from listening to 20 case studies presenting data, evidence, lessons learned, mistakes and insights that will drive your own biodata capabilities forward
• Understand and leverage the fast emerging role of the healthcare data ecosystem in transforming drug discovery and development
• Build your biodata capabilities from the bottom up, from both a technical and scientific standpoint.
• Get straight past the hype and vision and into the detail on AI/ML as a tool to build, manage and examine knowledge and vast data sets
• Spend quality time with other senior level practitioners from Europe’s leading pharma organizations, and leave armed with not just new ideas, but a new support network

This is the most impressive pharma-focused speaker line-up ever assembled for an event on this topic, on a diverse array of subjects tackling THE critical problems in drug development.

D4 Features Data/Evidence Driven Case Studies in the Following Areas:
Getting the Most Out of Biodata
• Biodata integration
• Data landscaping
• FAIR, achieving ROI and making the business-case for investment
• Harnessing complex data sets
• Applying AI/ML/ANN approaches
• Automated knowledge management and building/leveraging knowledge graphs
• Transforming data into knowledge
• How to build a biopharma company from scratch in a new data-driven era

The Healthcare Data Ecosystem
• Leveraging healthcare data from the many siloes that exist
• Planning for the growing role of the patient.
• Predicting patient response using machine learning techniques
• Market access and convincing payors
• Driving new insights and treatments for cancer
• Accelerating interoperability

Target Discovery and Validation
• Omics data-driven target discovery
• Leveraging genetic-driven insights
• The role of AI/ML in target ID

Enhancing Drug Discovery and Development
• How to ‘surf on the data lake’
• Data flows, FAIRness and integration in the context of drug discovery
• Enhancing the progression from compounds into hits/leads
• Using advanced analytics and AI
• Re-thinking drug design via AI
• Phenotypic approaches to accelerate discovery

Filling Gaps in Translational Research
• Drug repurposing
• Method benchmarking
• Human models
• Interpretation of Real-World Data
• Data-driven problem solving
• Using Artificial Neural Networks to gain clinically actionable insights