This is the presentation as shown on the 2015 Future Convention in Frankfurt, Germany on Nov 23, 2015. It shows latest research results in the field of precision medicine using the Drug Response Analysis app of the http://we.analyzegenomes.com platform.

1. Analyze Genomes: Drug Response Analysis
Dr. Matthieu-P. Schapranow
Future Convention, Frankfurt, Germany
Nov 23, 2015

2. ■ Since 2009 Program Manager E-Health & Life Sciences
■ 2006-2014 Strategic Projects SAP HANA
■ Visiting Scientist at V.A., Boston, MA and Charité, Berlin
■ Ph.D. in Software Engineering
Whom you are dealing with?
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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3. What is the Hasso Plattner Institute, Potsdam, Germany?
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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4. Indirect Interaction
Direct Interaction
C linician PatientResearcher
Pharm aceutical
Com pany
H ealthcare
Providers
H ospital
Research
Center
Laboratory
Patient
Advocacy
G roup
Intelligent Healthcare Networks in the 21st Century?
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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5. Indirect Interaction
Direct Interaction
C linician PatientResearcher
Pharm aceutical
Com pany
H ealthcare
Providers
H ospital
Research
Center
Laboratory
Patient
Advocacy
G roup
Intelligent Healthcare Networks in the 21st Century?
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
5

6. Indirect Interaction
Direct Interaction
C linician PatientResearcher
Pharm aceutical
Com pany
H ealthcare
Providers
H ospital
Research
Center
Laboratory
Patient
Advocacy
G roup
Intelligent Healthcare Networks in the 21st Century!
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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7. IT Challenges in Life Sciences
Distributed Heterogeneous Data Sources
Human genome/biological data
>750GB per complete human genome
>15PB in databases of leading institutes
Prescription data
1.5B records from 10,000 doctors and
10M Patients (100 GB)
Clinical trials
>30k recruiting trials on
ClinicalTrials.gov
Human proteome
160M data points (2.4GB) per sample
>3TB raw proteome data in ProteomicsDB
PubMed database
>24M unstructured
data in publications
Hospital information systems
>50GB structured relational data
Medical sensor data
Scan of a single organ creates
10GB of raw data within 1s
Cancer patient records
>160k records only at NCT
Analyze Genomes:
Drug Response
Analysis
Schapranow, Future
Convention, 2015
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8. ■ Patient: 67 years, male, smoker, consumes frequently alcohol
■ Diagnosis: Squamous cell carcinoma of the oropharynx, T2N2bM0, stage IVa
1. Surgery to remove tumor
2. Tumor sample is sent to laboratory to extract DNA
3. DNA is sequenced resulting in 750 GB of raw data per sample
4. Processing of raw data to perform analysis
5. Identification of relevant driver mutations using international medical knowledge
6. Informed decision making
Use Case: Precision Medicine in Oncology
Identification of Best Treatment Option for Cancer Patient
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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9. Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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10. Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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11. Schapranow, Future
Convention, 2015
we.analyzegenomes.com
Real-time Analysis of Big Medical Data
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In-Memory Database
Extensions for Life Sciences
Data Exchange,
App Store
Access Control,
Data Protection
Fair Use
Statistical
Tools
Real-time
Analysis
App-spanning
User Profiles
Combined and Linked Data
Genome
Data
Cellular
Pathways
Genome
Metadata
Research
Publications
Pipeline and
Analysis Models
Drugs and
Interactions
Analyze Genomes:
Drug Response
Analysis
Drug Response
Analysis
Pathway Topology
Analysis
Medical
Knowledge CockpitOncolyzer
Clinical Trial
Recruitment
Cohort
Analysis
...
Indexed
Sources

12. Real-time Data Analysis and
Interactive Exploration
Drug Response Analysis
Data Sources
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
Smoking status,
tumor classification
and age
(1MB - 100MB)
Raw DNA data
and genetic variants
(100MB - 1TB)
Medication efficiency
and wet lab results
(10MB - 1GB)
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Patient-specific
Data
Tumor-specific
Data
Compound
Interaction Data

13. Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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14. Showcase
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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Calculating Drug Response…Predict Drug Response

15. Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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cetuximab might be more
beneficial for the current case

16. ■ Online: Visit we.analyzegenomes.com for latest research
results, slides, videos, tools, and publications
■ Offline: Read more about it, e.g.
High-Performance In-Memory Genome Data Analysis:
How In-Memory Database Technology Accelerates Personalized Medicine,
In-Memory Data Management Research, Springer,
ISBN: 978-3-319-03034-0, 2014
■ In Person: Join us for “Festival of Genomics” Jan 19-21, 2016 in London, UK
Where do you find additional information?
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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17. ■ Global Medical Knowledge (Master’s project)
■ Markers for cardiovascular diseases to
assess treatment options (DHZB)
■ Combine health data to improve health care
research (AOK)
■ Pharmacogenetics (Bayer)
■ Generously supported by
Join us for upcoming projects!
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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Interdisciplinary
Design Thinking
Teams
You?

18. Keep in contact with us!
Hasso Plattner Institute
Enterprise Platform & Integration Concepts (EPIC)
Program Manager E-Health
August-Bebel-Str. 88
14482 Potsdam, Germany
Dr. Matthieu-P. Schapranow
schapranow@hpi.de
http://we.analyzegenomes.com/
Schapranow, Future
Convention, 2015
Analyze Genomes:
Drug Response
Analysis
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