Front Line Genomics is delighted to announce the launch of D4 Global: the world’s first truly global event focusing on data-driven discovery and development in pharma R&D, accessible directly from your home or office.
Launched in 2018, the D4 event series has helped hundreds of pharma R&D data scientists and leaders to explore, share, and improve data-driven approaches, drive R&D productivity, gather ideas and isolate the signal from the noise.
D4 Global will help you to build and deliver on a clear vision for a new era of pharma R&D, with innovative case studies backed by evidence/data, discussion forums, collaborative workshops and private peer-to-peer meetings.
What will be discussed?
Plenary: During the plenary sessions we will hear from industry leaders about the future of pharma R&D but also how to deliver results now.
- The economics of data-driven drug R&D
- Investment and achieving ROI
- Pioneering AI/ML case studies with real data
- Innovation in R&D data platforms
- Data and culture
Enabling R&D: Understand the business and technology considerations for IT/computational/data science leaders and business strategy directors/decision-makers who build the backbone infrastructure for enabling data-driven drug development.
- Optimising the data lifecycle
- Digitization of pharma R&D
- FAIR data
- Knowledge management and data structuring
- Data integration, analysis and interpretation
- Pipeline management
Doing R&D: Sessions for drug discovery and development scientists who utilise advanced analytic platforms and carry-out the data-driven strategies.
- Target discovery, validation and prioritisation
- Drug discovery, design and repurposing
- Preclinical development
- Clinical development and endpoint design
- Advanced translational approaches
- Data as a key driver in COVID-19 therapy development
Harvesting data: This track focuses on clinical and real-world evidence– for those in clinical research and R&D who are generating and harvesting real world data to influence all aspects of drug development.
- Real world data and evidence
- Patients and patient data
- Building representative data sets
- Mapping disease trajectories
- Regulatory frameworks
Who will be speaking?
Learning and development
Across the four days, you will be able to glean key lessons-learned intel from over 70 industry experts. Be it in the form of case studies, panel discussions, workshops and roundtables, this is your chance to keep to up speed with the latest developments in data and analytics for pharma R&D. Many sessions will also be available on demand.
A focus on real evidence and valuable lessons
The content that will be presented has been carefully curated by pharma for pharma from within the existing D4 community. This means it focuses on the signal, not the noise: real experiences, real data, evidence-supported case studies, lessons learned, successes, mistakes – all designed to challenge existing thinking, generate new ideas, promote discussion and collaboration.
New ways of networking
Just because this meeting is virtual, it doesn’t mean you have to miss out on the all-important networking opportunities that you would normally expect at D4. Through the integrated networking functionality of the event platform, you will have the chance to engage directly with over 1000+ pharma attendees from 50+ countries to discuss collaborative opportunities, seek advice, learn, share and expand your network. Set up pre-booked 121 meetings, swap digital business cards, join the focused speed networking based on interests, and reach out to any other registered attendee.
Register for D4 Global
A delegate pass gives you access to the live virtual conference programme and to the OnDemand content (that is available for two weeks after the virtual event has finished).
D4 Global is free to attend for people working exclusively in the NHS, a healthcare provider (e.g. a hospital or medical centre), a pharmaceutical company or in the not for profit sector. Please use your work email address when registering for your free ticket to expedite the registration process.