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WEBINAR

Genomics in Drug Discovery & Development

When: May 20, 2021 Time: 3:00 pm

Despite an increase in investment into R&D from biopharma companies, only 5-10% of drugs that enter early-stage clinical trials ever reach the patient. With studies showing that drug targets that have genetic support are more likely to get approved, genetics and genomics are playing an increasing role in the pharmaceutical hunt for the next era of drugs.

Join us for this unique 3-part webinar series, as we explore the role genetics and genomics is playing in modern drug discovery and how we can better leverage ever-improving technologies for maximum benefit.

Webinar 1: Leveraging genetics and genomics for drug discovery and development

13th May – 3pm BST/ 4pm CET/ 10am EST

This webinar will focus on the role genetics and genomics is playing in modern drug discovery and how biopharma is approaching genomics-led drug discovery and development across the pipeline, how processes are being improved, and what this could mean going forward.

Target genome analysis without PCR using long and short read technology – Edward Oakeley, Associate Director of Genomics, Novartis

Phenome-wide mendelian randomization in 2 minutes using big query data lake – Clement Chatelain, Team Leader, Computational Biology, Sanofi

Accelerate Drug Discovery & Development with True Resolution – Stephen Hague, Senior Science and Technology Advisor, 10x Genomics

Webinar 2: Functional Genomics tools for target ID & validation

20th May – 3pm BST/ 4pm CET/ 10am EST

Functional genomics presents a huge opportunity to understand the targetable genome and how this can be leveraged for drug discovery. This webinar will discuss the different technologies that biopharma is leveraging for functional genomics studies, evaluate their limitations and future directions.

Keynote: Integrating Machine Learning and Functional Genomics to decipher the language of the cell – Kim Branson, SVP, Global Head of Artificial intelligence and Machine Learning, GSK

Panellists:

  • Davide Gianni, Director, Functional Genomics, AstraZeneca
  • Stephen Hague, Senior Science and Technology Advisor, 10x Genomics
  • Lisa Mohamet, Global Head Translational In vitro Models, GSK
  • Eric Chow, Director, UCSF Centre for Advanced Technology

Webinar 3: Coupling genomic data with diverse datasets

27th May – 3pm BST/ 4pm CET/ 10am EST

While genetics and genomics present a huge opportunity for drug discovery, the increasing ability and ease to capture multi-omics data, or couple “omics” data with imaging data, present a huge opportunity to translate findings into targets.

This webinar will present the opportunities to leverage diverse data for drug target discovery, address the challenges of this at scale, and present opportunities for future developments.

From Variant to Function – Multi-omics approach – Nikolina Nakic, Director, Computational Biology, GSK

A new molecular classification to drive precision treatment strategies in primary Sjögren’s syndrome – Perrine Soret, Project Leader in Biomarker Statistics, Servier

Transform the ability to characterize human disease and drug targeting through multi omics – Stephen Hague, Senior Science and Technology Advisor, 10x Genomics

This webinar series has been made possible due to the kind support of our partner 10x Genomics.

Speakers

Edward Oakeley Edward Oakeley, Associate Director of Genomics, Novartis

Clement Chatelain Clement Chatelain, Team Leader, Computational Biology, Sanofi

Kim Branson Kim Branson, SVP, Global Head of Artificial intelligence and Machine Learning, GSK

Tom Rush Tom Rush, Chief R&D Officer, Variant Bio

Davide Gianni Davide Gianni, Director, Functional Genomics, AstraZeneca

Nikolina Nakic Nikolina Nakic, Director, Computational Biology, GSK

Perrine Soret Perrine Soret, Project Leader in Biomarker Statistics, Servier

Stephen Hague Stephen Hague, Senior Science and Technology Advisor, 10x Genomics

Eric Chow Eric Chow, Director, UCSF Centre for Advanced Technology

Lisa Mohamet Lisa Mohamet, Global Head Translational In vitro Models, GSK


More on these topics

Data / Drug Development / Drug Discovery / Genomics

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