Gather Data, Evidence and Case Studies to Transform Data-Driven Drug Development


Pioneering Speakers Include

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Emma Laing
Lead Bioinformatician in Neuroscience and Principal Research Scientist
Eli Lilly

George Papadatos
Director of Discovery Data Strategy, R&D
GSK

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Philipp Diesinger
Global Chief Data Scientist
Boehringer Ingelheim

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Philippe Marc
Director, Global Head of Integrated Data Science
Novartis

Martin Romacker
Principal Scientist, pREDi, Data Information Architecture in Technical Solution Delivery, Roche Pharma Research and Early Development
Roche

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Paul Agapow
Director, Health Informatics
AstraZeneca

Peter Speyer
Global Head of Digital, Medical and RWE Solutions
Novartis

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Olivier Leconte
Global Head of Statistical Programming & Analysis
Janssen

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James Dunbar
Senior Bioinformatics Data Scientist
BenevolentAI

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Victor Neduva
Programme Lead, Merck Research Labs UK
Merck

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Abel Archundia Pineda
Global Head of IT, BP
Bayer

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Xosé Fernández
Chief Data Officer
Institut Curie

A great opportunity to get inside the minds of leading thinkers in leveraging data science and IT to create new drugs.
— Steve Hoang, Head of Computational Biology, Hemoshear Therapeutics

Why Attend

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Data, Evidence, Case Studies

Air-headed, conceptual talks that dominate other data events are banned. At D4, every talk is a data/evidence-driven case designed to provoke and expand the possibilities of your own research and development.

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Pioneering Speaker Faculty

Hear from 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.

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Senior, Intimate Networking

This is a small, senior meeting with expansive networking sessions and time to connect with other attendees, initiate conversations and build lasting relationships among peers.

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Solution-focused

D4 has been designed to impact the bottom line, tackling crucial problems and prioritizing near-term solutions that will positively impact R&D efficiency and effectiveness in the short-term.

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Built by Pharma, for Pharma

Talks and speakers have been carefully curated by a close-knit network representing every one of the top 25 pharma companies. Agenda sessions are the result of pain-staking research and prioritization.

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Two Worlds Collide

D4 brings together biopharma technical/IT professionals (“enablers”) who build biodata capabilities with scientists (“doers”) who are using new data-driven systems to solve problems in drug development.

I made more new contacts at the D4 conference than at any conference over the past couple of years.
— Peter Henstock, Senior Data Scientist, Pfizer

D4 Features Data/Evidence Driven Case Studies in the Following Areas:

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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

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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

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Target Discovery and Validation

  • Omics data-driven target discovery

  • Leveraging genetic-driven insights

  • The role of AI/ML in target ID

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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

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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

A great blend of topics around data-driven drug discovery bringing people from different domains close to each other.
— Martin Romacker, Principal Scientist, Roche