PLENERY GENOMICS LIVE

 

 

The Keynote stream showcases the most exciting thought leaders from across the healthcare and pharmaceutical spectrum.
 

THIS YEAR’S WORLD LEADING KEYNOTE SPEAKERS

 

 

 

Plenary Genomics Live, Tuesday 2 November 2021

Christopher Miller
Plenary Genomics Live
08:40

Opening Remarks

Trevor Howe
Plenary Genomics Live
09:00

Looking at the bigger picture: How do we make sure that we have the full picture with big data experiments

Joachim Reischl
Plenary Genomics Live
09:20

Deep Medicine – towards the next generation of software-based precision medicine diagnostics

  • Evolution of precision medicine
  • AI in predicting clinical outcome
  • Software as Medical Device as Companion Diagnostic
Panel discussion
last published: 24/Sep/21 12:45

Plenary Genomics Live, Wednesday 3 November 2021

Andrew Kasarskis
Plenary Genomics Live
09:00

Digital transformation over COVID-19 – Challenges for the future and perpetuating the efforts

  • COVID-19 lead to digital innovation by necessity, including telehealth, new apps and digital technologies, and data fusion and sharing advances.
  • Large opportunities exist to do much better with learning from data, however.This requires the following operational and cultural change:
-Proactive collection and use of coherent data sets as a baseline for public health and the infrastructure development to support that work.-Recommitment to evidence-based medicine and timely, rigorous assessment of clinical utility through ongoing clinical research with well-powered studies of strong statistical design coupled to careful monitoring of large observational data.
Said Ismail
Plenary Genomics Live
09:20

Qatar Genome; Big data from an underrepresented region

  • Overview of the Qatar Genome Project (QGP)
  • Contributions to Middle East Genomics
  • QGP role COVID-19 research
  • Strategy for precision medicine implementation
Paul Agapow
Plenary Genomics Live
09:40

How to be right: effective use of clinical models and machine learning in the clinic

    There is an increasing demand for a sophisticated model to predict patient outcomes and suggest treatmentsUnfortunately, most proposed clinical models are not fit for purpose, being biased, unvalidated, or irrelevantHere we suggest best practices for the development and deployment of complex ML algorithms, resulting in more successful and effective models
Sue Hill
Plenary Genomics Live
10:00

The NHS Science Driven Transformation

Sue Hill, Chief Scientific Officer, NHS England
last published: 24/Sep/21 12:45

Plenary Genomics Live, Thursday 4 November 2021

Scott Chandler
Plenary Genomics Live
09:00

Genetic Drivers of Response to Immunotherapy: Going Beyond the Tumor

Chris Wigley
Plenary Genomics Live
09:20

Presentation Reserved

Panel discussion
last published: 24/Sep/21 12:45

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