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Investing in innovation for genomic medicine
– the journey of Repositive
Fiona Nielsen, June 7th 2017
My story into genomic medicine
I was creating data analysis tools for NGS
Soon everyone was talking about genomic medicine
I was in the Netherlands, while back in Denmark
Image by Fiona Nielsen
Living through her treatment taught me:
1) My research was very far
removed from any clinical
application
2) Standard of care had
nothing to do with genomic
medicine
Image by Fiona Nielsen
I moved closer to clinical applications
Image by Ospedale Pediatrico https://flic.kr/p/v67jGZ
Through my work I learnt:
The bottlenecks for genomic medicine
1) Are NOT in data generation
2) Are all in data interpretation
Image by Ospedale Pediatrico https://flic.kr/p/v67jGZ
Why is data interpretation a bottleneck?
Image by Oran Viriyincy https://flic.kr/p/8VxEVt
Why is data interpretation a bottleneck?
Human interpretation is required to
interpret the rapidly evolving
knowledge base
Knowledge is not shared fast enough
Knowledge sharing = data sharing
Image by Oran Viriyincy https://flic.kr/p/8VxEVt
What is stopping us from achieving our ambitions?
Image by Ken Bosma https://flic.kr/p/51eHYb
What is stopping us from achieving our ambitions?
• Use case 1: discovering new genetic
correlations  need raw data
• Use case 2: reviewing and revising
annotated genetic variation  need raw
data
• Use case 3: personalising care
depending on genetic variation  need
genetic data + EMR + treatment +
outcomes
Image by Ken Bosma https://flic.kr/p/51eHYb
1000s of data points are needed for analysis
• Data for comparison and validation
across:
• Specific disease states
• Healthy individuals
• Technologies
• … and across any potential
confounding factors of sample or data
• Finding and accessing data can take
months!
Image by Davide P https://flic.kr/p/oX7277
I left my job to address the problem
https://www.flickr.com/photos/blackzack00/10205948476/
A well-known bottleneck
Data problems increase with the data deluge
Image by NASA https://flic.kr/p/JgXyPS
A business proposition for innovation
• A bottleneck in an exploding market
= Genomical market opportunity for enabling data access
• Applying known technology and business models that
have been successful in other industries:
• Online data marketplace + market insights
• Streamlining access to scarce resources
• Freemium community creating network effect
Image by NASA https://flic.kr/p/JgXyPS
Challenge – finding investors in innovation
Image by Nebraska Oddfish https://flic.kr/p/dAwZWF
Challenge – finding investors in innovation
• Genomic data community marketplace
– sitting between software and biotech
• Series A investors across disciplines
• Hand-picking specialists
Image by Nebraska Oddfish https://flic.kr/p/dAwZWF
How can we make innovation happen faster?
Image by Barbara W https://flic.kr/p/fNBmQQ
How can we make innovation happen faster?
• Incremental innovation happens within a
discipline
• Disruptive innovation happens across
disciplines
• Identify bottlenecks
• Invest across disciplines
Image by Barbara W https://flic.kr/p/fNBmQQ
Thanks
Image by Fiona Nielsen
Investing in innovation for genomic medicine
– the journey of Repositive
Fiona Nielsen, June 7th 2017
http://repositive.io and tweet @repositiveio

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Investing in innovation for genomic medicine - the journey of Repositive

  • 1. Investing in innovation for genomic medicine – the journey of Repositive Fiona Nielsen, June 7th 2017
  • 2. My story into genomic medicine
  • 3. I was creating data analysis tools for NGS
  • 4. Soon everyone was talking about genomic medicine
  • 5. I was in the Netherlands, while back in Denmark Image by Fiona Nielsen
  • 6. Living through her treatment taught me: 1) My research was very far removed from any clinical application 2) Standard of care had nothing to do with genomic medicine Image by Fiona Nielsen
  • 7. I moved closer to clinical applications Image by Ospedale Pediatrico https://flic.kr/p/v67jGZ
  • 8. Through my work I learnt: The bottlenecks for genomic medicine 1) Are NOT in data generation 2) Are all in data interpretation Image by Ospedale Pediatrico https://flic.kr/p/v67jGZ
  • 9. Why is data interpretation a bottleneck? Image by Oran Viriyincy https://flic.kr/p/8VxEVt
  • 10. Why is data interpretation a bottleneck? Human interpretation is required to interpret the rapidly evolving knowledge base Knowledge is not shared fast enough Knowledge sharing = data sharing Image by Oran Viriyincy https://flic.kr/p/8VxEVt
  • 11. What is stopping us from achieving our ambitions? Image by Ken Bosma https://flic.kr/p/51eHYb
  • 12. What is stopping us from achieving our ambitions? • Use case 1: discovering new genetic correlations  need raw data • Use case 2: reviewing and revising annotated genetic variation  need raw data • Use case 3: personalising care depending on genetic variation  need genetic data + EMR + treatment + outcomes Image by Ken Bosma https://flic.kr/p/51eHYb
  • 13. 1000s of data points are needed for analysis • Data for comparison and validation across: • Specific disease states • Healthy individuals • Technologies • … and across any potential confounding factors of sample or data • Finding and accessing data can take months! Image by Davide P https://flic.kr/p/oX7277
  • 14. I left my job to address the problem https://www.flickr.com/photos/blackzack00/10205948476/
  • 16. Data problems increase with the data deluge Image by NASA https://flic.kr/p/JgXyPS
  • 17. A business proposition for innovation • A bottleneck in an exploding market = Genomical market opportunity for enabling data access • Applying known technology and business models that have been successful in other industries: • Online data marketplace + market insights • Streamlining access to scarce resources • Freemium community creating network effect Image by NASA https://flic.kr/p/JgXyPS
  • 18. Challenge – finding investors in innovation Image by Nebraska Oddfish https://flic.kr/p/dAwZWF
  • 19. Challenge – finding investors in innovation • Genomic data community marketplace – sitting between software and biotech • Series A investors across disciplines • Hand-picking specialists Image by Nebraska Oddfish https://flic.kr/p/dAwZWF
  • 20. How can we make innovation happen faster? Image by Barbara W https://flic.kr/p/fNBmQQ
  • 21. How can we make innovation happen faster? • Incremental innovation happens within a discipline • Disruptive innovation happens across disciplines • Identify bottlenecks • Invest across disciplines Image by Barbara W https://flic.kr/p/fNBmQQ
  • 23. Investing in innovation for genomic medicine – the journey of Repositive Fiona Nielsen, June 7th 2017 http://repositive.io and tweet @repositiveio

Notas do Editor

  1. Online data marketplace - see Quandl for finance Streamlining access to scarce resources to speed up research – see Antidote for clinical trials Market insights providing value - see Bloomberg Freemium community creating network effect – see GitHub, Tripadvisor