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How will AI affect the patient journey of the future?
Dr.-Ing. Matthieu-P. Schapranow
Clinical Trials Europe Conf., Basel, Switzerland
Oct 16, 2019
■ 1998: Founded as public-private partnership in Potsdam, Germany
■ 15+ professors, 600+ B.Sc. & M.Sc. students, 170+ PhD students
■ Since 2017 Digital Engineering Faculty of Potsdam University
■ Digital Health Center: Connected Health, Digital Health & Machine Learning,
Personalized Medicine, In-Memory Computing for Digital Health
Hasso Plattner Institute
Key Facts
How will AI affect the
patient journey of the
future?
2
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
■ Long-lasting digital health expertise and access
to global network of subject-matter experts
■ Database: In-memory database technology
for real-time data analysis
■ Methods: Latest artificial intelligence
and machine learning algorithms optimized
for scalable high-throughput processing
■ High-throughput processing of *omics data and
big medical data modalities
Working Group In-Memory Computing for Digital Health
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
3
Newborn pics
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
4
PhotobyJensJohnsson
How will AI affect the
patient journey of the
future?
Newborn pics
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
5
Personal Risk Score
Chord Blood /
Stem Cells
DNA Repair
CRISPR/Cas 9
Bred or Donated
Organ
Glucose Sensor
Nutrition Sensor
Heart Monitoring /
Implanted Defy
Hearing Aid
PhotobyJensJohnsson
■ Case vignette: 65-year old, male, former smoker, COPD patient
■ How his patient journey looks like?
Patient Journey: Lung Cancer in 2024
Screening, Diagnosis, Treatment, and Prevention
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
6
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
7
Our Approach: AnalyzeGenomes.com
In-Memory Computing Platform for Big Medical Data
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
8
In-Memory Computing Platform
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
Drug Response
Analysis
Pathway Topology
Analysis
Medical
Knowledge CockpitOncolyzer
Clinical Trial
Recruitment
Cohort
Analysis
...
Indexed
Sources
■ Personal risk score based on patient anamnesis, e.g. COPD or
former smoker, regularly calculated by algorithms
■ à Regular check-ups supported through direct notifications, e.g.
annual respiratory screening recommended
Patient Journey: Lung Cancer in 2024
Screening
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
9
■ 150 MEUR national initiative to support adaption of digital health
■ HiGHmed consists of international partners from, e.g. hospitals,
academia, and industry.
■ Clinical Use Cases
□ Oncology
□ Cardiology
□ Infection control
■ Education: Curriculum for experts, e.g. data scientists, data stewards
Our Cooperation Partners:
HiGHmed Consortium
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
10
■ Lung function test + low-dose CT scan of the lung
■ AI system supports radiologists in detecting lung tissue changes
■ Minimal invasive CTC test reveals cells carrying relevant genetic
changes, e.g. EGFR+ and ERBB2+
■ à Biopsy from lung validated hypothesis
Patient Journey: Lung Cancer in 2024
Diagnosis
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
11
https://www.plattform-lernende-systeme.de/anwendungsszenario-2.html
Use Case: Precision Oncology
Identification of Best Treatment Option for Cancer Patient
■ Diagnosis: Non-Small Cell Lung Cancer (NSCLC), stage IV
■ Markers: EGFR, ERBB2
1. Send tumor sample to laboratory for DNA extraction
2. Sequencing of tumor DNA is possible in <24hrs
3. Analysis involves 1+ TB of raw genome data per sample and takes days
4. Process raw genome data, e.g. alignment, variant calling, and annotate
5. Identify relevant variants using international medical knowledge
6. Decision making requires global medical knowledge, e.g. similar cases
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
12
■ AI-based therapy support based on, e.g.
□ Clinical guidelines
□ Historic patient cases
□ Latest international medical
knowledge and publications
■ à Fully compliant with latest clinical
guidelines surgery can be performed
Patient Journey: Lung Cancer in 2024
Treatment
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
13
https://we.analyzegenomes.com/mkc/digiGipfel2018/
Use Case: Molecular Tumor Boards
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
14
■ Multidisciplinary exchange format
for oncologists
■ Incorporates genetic dispositions
■ Focus on data management, e.g.
data retrieval, variant annotations,
case presentations, documentation,
and follow-up
■ Comparison of outcome of similar patients
■ Quantitative real-time analysis of therapy efficiency
■ Assessment of alternative therapy options
■ Break-through: bringing clinical trials to participants
■ à Adjuvant therapy based on specific
combination of chemotherapy is selected
Patient Journey: Lung Cancer in 2024
Treatment
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
15
https://we.analyzegenomes.com/mkc/digiGipfel2018/
Use Case: Medical Process and Knowledge Support
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
16
■ Identification of cluster of similar patients
■ Real-time analysis of clinical guidelines incorporating patient specifics
Use Case: Real-time Assessment of
Clinical Trial Candidates
■ Supports trial design and recruitment process through
statistical data analysis
■ Real-time matching and clustering of patients and
clinical trial inclusion/exclusion criteria
■ Reassessment of already screened or participating
citizens to reduce recruitment costs
How will AI affect the
patient journey of the
future?
Real-time assessment of
clinical trial candidates
17
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
■ Federal Institute of Digital Health Data envisioned:
□ Maintains population data for a healthier society
□ Provides access to subject-matter experts
□ Supports development of innovative DH solutions
■ Data Donation Pass as citizen-facing tool:
□ Enable sovereign use of healthcare data
□ Control access to personal healthcare data
□ Donate de-identified data for research projects
Patient Journey: Lung Cancer in 2024
Prevention
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
18
https://we.analyzegenomes.com/apps/data-donation-pass/
Citizen Participation in Healthcare
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
19
PhotobyBenDuchac
Citizen Participation is Key
■ Today, acquisition and processing of fine-grained healthcare data is no longer a limitation
■ Every individual is a valuable source of data, e.g. to better understand population health
■ Digital solutions are not for free, but they facilitate lean processes in healthcare
■ Healthy citizens can help to design innovative and helpful solutions
Stay in Contact
Dr.-Ing. Matthieu-P. Schapranow
Group Leader & Scientific Manager Digital Health Innovations
Hasso Plattner Institute
Digital Health Center
Rudolf-Breitscheid-Str. 187
14482 Potsdam, Germany
we.analyzegenomes.com
@AnalyzeGenomes
Schapranow, Clinical
Trials Europe Conference,
Oct 16, 2019
How will AI affect the
patient journey of the
future?
20

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How will AI affect the patient journey of the future?

  • 1. How will AI affect the patient journey of the future? Dr.-Ing. Matthieu-P. Schapranow Clinical Trials Europe Conf., Basel, Switzerland Oct 16, 2019
  • 2. ■ 1998: Founded as public-private partnership in Potsdam, Germany ■ 15+ professors, 600+ B.Sc. & M.Sc. students, 170+ PhD students ■ Since 2017 Digital Engineering Faculty of Potsdam University ■ Digital Health Center: Connected Health, Digital Health & Machine Learning, Personalized Medicine, In-Memory Computing for Digital Health Hasso Plattner Institute Key Facts How will AI affect the patient journey of the future? 2 Schapranow, Clinical Trials Europe Conference, Oct 16, 2019
  • 3. ■ Long-lasting digital health expertise and access to global network of subject-matter experts ■ Database: In-memory database technology for real-time data analysis ■ Methods: Latest artificial intelligence and machine learning algorithms optimized for scalable high-throughput processing ■ High-throughput processing of *omics data and big medical data modalities Working Group In-Memory Computing for Digital Health Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 3
  • 4. Newborn pics Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 4 PhotobyJensJohnsson
  • 5. How will AI affect the patient journey of the future? Newborn pics Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 5 Personal Risk Score Chord Blood / Stem Cells DNA Repair CRISPR/Cas 9 Bred or Donated Organ Glucose Sensor Nutrition Sensor Heart Monitoring / Implanted Defy Hearing Aid PhotobyJensJohnsson
  • 6. ■ Case vignette: 65-year old, male, former smoker, COPD patient ■ How his patient journey looks like? Patient Journey: Lung Cancer in 2024 Screening, Diagnosis, Treatment, and Prevention Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 6
  • 7. Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 7
  • 8. Our Approach: AnalyzeGenomes.com In-Memory Computing Platform for Big Medical Data Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 8 In-Memory Computing Platform 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 Drug Response Analysis Pathway Topology Analysis Medical Knowledge CockpitOncolyzer Clinical Trial Recruitment Cohort Analysis ... Indexed Sources
  • 9. ■ Personal risk score based on patient anamnesis, e.g. COPD or former smoker, regularly calculated by algorithms ■ à Regular check-ups supported through direct notifications, e.g. annual respiratory screening recommended Patient Journey: Lung Cancer in 2024 Screening Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 9
  • 10. ■ 150 MEUR national initiative to support adaption of digital health ■ HiGHmed consists of international partners from, e.g. hospitals, academia, and industry. ■ Clinical Use Cases □ Oncology □ Cardiology □ Infection control ■ Education: Curriculum for experts, e.g. data scientists, data stewards Our Cooperation Partners: HiGHmed Consortium Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 10
  • 11. ■ Lung function test + low-dose CT scan of the lung ■ AI system supports radiologists in detecting lung tissue changes ■ Minimal invasive CTC test reveals cells carrying relevant genetic changes, e.g. EGFR+ and ERBB2+ ■ à Biopsy from lung validated hypothesis Patient Journey: Lung Cancer in 2024 Diagnosis Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 11 https://www.plattform-lernende-systeme.de/anwendungsszenario-2.html
  • 12. Use Case: Precision Oncology Identification of Best Treatment Option for Cancer Patient ■ Diagnosis: Non-Small Cell Lung Cancer (NSCLC), stage IV ■ Markers: EGFR, ERBB2 1. Send tumor sample to laboratory for DNA extraction 2. Sequencing of tumor DNA is possible in <24hrs 3. Analysis involves 1+ TB of raw genome data per sample and takes days 4. Process raw genome data, e.g. alignment, variant calling, and annotate 5. Identify relevant variants using international medical knowledge 6. Decision making requires global medical knowledge, e.g. similar cases Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 12
  • 13. ■ AI-based therapy support based on, e.g. □ Clinical guidelines □ Historic patient cases □ Latest international medical knowledge and publications ■ à Fully compliant with latest clinical guidelines surgery can be performed Patient Journey: Lung Cancer in 2024 Treatment Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 13 https://we.analyzegenomes.com/mkc/digiGipfel2018/
  • 14. Use Case: Molecular Tumor Boards Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 14 ■ Multidisciplinary exchange format for oncologists ■ Incorporates genetic dispositions ■ Focus on data management, e.g. data retrieval, variant annotations, case presentations, documentation, and follow-up
  • 15. ■ Comparison of outcome of similar patients ■ Quantitative real-time analysis of therapy efficiency ■ Assessment of alternative therapy options ■ Break-through: bringing clinical trials to participants ■ à Adjuvant therapy based on specific combination of chemotherapy is selected Patient Journey: Lung Cancer in 2024 Treatment Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 15 https://we.analyzegenomes.com/mkc/digiGipfel2018/
  • 16. Use Case: Medical Process and Knowledge Support Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 16 ■ Identification of cluster of similar patients ■ Real-time analysis of clinical guidelines incorporating patient specifics
  • 17. Use Case: Real-time Assessment of Clinical Trial Candidates ■ Supports trial design and recruitment process through statistical data analysis ■ Real-time matching and clustering of patients and clinical trial inclusion/exclusion criteria ■ Reassessment of already screened or participating citizens to reduce recruitment costs How will AI affect the patient journey of the future? Real-time assessment of clinical trial candidates 17 Schapranow, Clinical Trials Europe Conference, Oct 16, 2019
  • 18. ■ Federal Institute of Digital Health Data envisioned: □ Maintains population data for a healthier society □ Provides access to subject-matter experts □ Supports development of innovative DH solutions ■ Data Donation Pass as citizen-facing tool: □ Enable sovereign use of healthcare data □ Control access to personal healthcare data □ Donate de-identified data for research projects Patient Journey: Lung Cancer in 2024 Prevention Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 18 https://we.analyzegenomes.com/apps/data-donation-pass/
  • 19. Citizen Participation in Healthcare Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 19 PhotobyBenDuchac Citizen Participation is Key ■ Today, acquisition and processing of fine-grained healthcare data is no longer a limitation ■ Every individual is a valuable source of data, e.g. to better understand population health ■ Digital solutions are not for free, but they facilitate lean processes in healthcare ■ Healthy citizens can help to design innovative and helpful solutions
  • 20. Stay in Contact Dr.-Ing. Matthieu-P. Schapranow Group Leader & Scientific Manager Digital Health Innovations Hasso Plattner Institute Digital Health Center Rudolf-Breitscheid-Str. 187 14482 Potsdam, Germany we.analyzegenomes.com @AnalyzeGenomes Schapranow, Clinical Trials Europe Conference, Oct 16, 2019 How will AI affect the patient journey of the future? 20