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Analyze Genomes: Drug Response Analysis

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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.

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Analyze Genomes: Drug Response Analysis

  1. 1. Analyze Genomes: Drug Response Analysis Dr. Matthieu-P. Schapranow Future Convention, Frankfurt, Germany Nov 23, 2015
  2. 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 2
  3. 3. What is the Hasso Plattner Institute, Potsdam, Germany? Schapranow, Future Convention, 2015 Analyze Genomes: Drug Response Analysis 3
  4. 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 4
  5. 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. 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 6
  7. 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 7
  8. 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 8
  9. 9. Schapranow, Future Convention, 2015 Analyze Genomes: Drug Response Analysis 9
  10. 10. Schapranow, Future Convention, 2015 Analyze Genomes: Drug Response Analysis 10
  11. 11. Schapranow, Future Convention, 2015 we.analyzegenomes.com Real-time Analysis of Big Medical Data 11 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. 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) 12 Patient-specific Data Tumor-specific Data Compound Interaction Data
  13. 13. Schapranow, Future Convention, 2015 Analyze Genomes: Drug Response Analysis 13
  14. 14. Showcase Schapranow, Future Convention, 2015 Analyze Genomes: Drug Response Analysis 14 Calculating Drug Response…Predict Drug Response
  15. 15. Schapranow, Future Convention, 2015 Analyze Genomes: Drug Response Analysis 15 cetuximab might be more beneficial for the current case
  16. 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 16
  17. 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 17 Interdisciplinary Design Thinking Teams You?
  18. 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 18

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