Gerard Jansen (CEO Alan Turing Institute) - Alan Turing Institute: brengt data tot leven

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Presentatie van Gerard Jansen (CEO Alan Turing Institute) - ‘Alan Turing Institute: brengt data tot leven’ tijdens het Big Data Analytics seminar 14 juni in Almere

Technology Education

Bring data to life!

Alan Turing Institute Almere (ATIA)

Gerard Jansen, CEO

Content
• Alan Turing Institute Almere (ATIA)
• Personalised Medicine
• Clinical Data
• Reasoning with Patient Data
• Clinical Decision Support
• Conclusions

2

Alan Turing Institute Almere
• Started as the R&D department of Emotional
Brain B.V.
• Separated & founded as ATIA in July 2009
• Public and private funding
– National, regional and local government
– Emotional Brain (and other private funding)
• Who was Alan Turing (1912-1954) ?

3

Mission ATIA

Source: Topsectorplan Life Sciences & Health, page 6
4

Vision on health & care
• From one-size-fits all diagnose-therapy model to
personalised medicine model

• Possible as a result of revolutionary technology
and evolutionary development of medicine

5

Usable data
• Big data is about volume & complexity
• Unstructured & structured data
• From data to information
• From information to knowledge
• From knowledge to decisions

9

Reasoning with
patient data

Raw data

Useable data
(Conditions)
HeMAS
Common Deductive Inductive
Knowledge Reasoning Reasoning

Experience, Skills,
Attitude 10

Reasoning with patient data
• Knowledge modelling
– Literature
– Guidelines & protocols
– Raw data (datamining)
• Advanced analytics
– Inductive techniques (interactions, non-linear)
• Pattern recognition
• Variable selection
• Classification
• Generating hypothesis

– Deductive techniques
• If-then rules

• It’s al about explaining & predicting

11

ATIA toolbox
sequential and/or parallel agents

Inductive Deductive
Reasoning Reasoning

Machine learning Bayesian network Rule based
Rikku Nabby Ceres
Pattern recognition Data mining / Classification If Then Else rules

Interaction Information Regression analysis Rule based
Lenny Reggie Juno
Variable selection Variables model fitting If Then Else rules

Tree Classification Assoc. Rule Learning
Moku Fregol
Armas first order predicate logic
Classification Hypothesis generation

Clustering Case Based Reasoning
K-means Casey
Classification Look for most similar patient

12

‘Intuitive medicine’

Experience Therapy
Skills decision
Attitude

Source: IBM

13

‘Precision Medicine’
HeMAS:
heterogeneous multi-agent
system

Experience
Skills
Attitude

Source: IBM

Knowledge
14

Clinical Decision Support

• Combining objective patient information with
experience, skills and attitude of the medical
professional
• The result is knowledge (insight and
understanding) of complex medical problems
• This knowledge supports the decisions on
medical interventions

15

ATIA model
Inference mechanisms
Data preprocessing & Decision
(inductive & deductive
knowledge representation support
reasoning)

Unstructured data
Information

Structured data Findings

HeMAS Experience, skills
& attitude
Effect/Outcome

Knowledge
(insights & understanding)

Intervention Decision 16

Conclusions

• Explosions of the healthcare cost drives the
paradigm shift to real personalised medicine
• Asks for big investments in innovative
techniques and practices
• Topsector policy on life sciences and health (on
a national and European level) supports this

17

ATIA:
BRINGS DATA TO LIFE
Thank you for your attention!

18

Colofon
Alan Turing Institute Almere
Louis Armstrongweg 84
1311 RL Almere
The Netherlands
Phone: +31 365345985
E-mail: info@ati-a.nl
Web: www.ati-a.nl
Conferentiewebsite: www.atiaconference.nl

19

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Gerard Jansen (CEO Alan Turing Institute) - Alan Turing Institute: brengt data tot leven

1. Bring data to life! Alan Turing Institute Almere (ATIA) Gerard Jansen, CEO

2. Content • Alan Turing Institute Almere (ATIA) • Personalised Medicine • Clinical Data • Reasoning with Patient Data • Clinical Decision Support • Conclusions 2

3. Alan Turing Institute Almere • Started as the R&D department of Emotional Brain B.V. • Separated & founded as ATIA in July 2009 • Public and private funding – National, regional and local government – Emotional Brain (and other private funding) • Who was Alan Turing (1912-1954) ? 3

4. Mission ATIA Source: Topsectorplan Life Sciences & Health, page 6 4

5. Vision on health & care • From one-size-fits all diagnose-therapy model to personalised medicine model • Possible as a result of revolutionary technology and evolutionary development of medicine 5

6. Trends and drivers 6

7. Paradigm shift 7

8. Clinical big data 8

9. Usable data • Big data is about volume & complexity • Unstructured & structured data • From data to information • From information to knowledge • From knowledge to decisions 9

10. Reasoning with patient data Raw data Useable data (Conditions) HeMAS Common Deductive Inductive Knowledge Reasoning Reasoning Experience, Skills, Attitude 10

11. Reasoning with patient data • Knowledge modelling – Literature – Guidelines & protocols – Raw data (datamining) • Advanced analytics – Inductive techniques (interactions, non-linear) • Pattern recognition • Variable selection • Classification • Generating hypothesis – Deductive techniques • If-then rules • It’s al about explaining & predicting 11

12. ATIA toolbox sequential and/or parallel agents Inductive Deductive Reasoning Reasoning Machine learning Bayesian network Rule based Rikku Nabby Ceres Pattern recognition Data mining / Classification If Then Else rules Interaction Information Regression analysis Rule based Lenny Reggie Juno Variable selection Variables model fitting If Then Else rules Tree Classification Assoc. Rule Learning Moku Fregol Armas first order predicate logic Classification Hypothesis generation Clustering Case Based Reasoning K-means Casey Classification Look for most similar patient 12

13. ‘Intuitive medicine’ Experience Therapy Skills decision Attitude Source: IBM 13

14. ‘Precision Medicine’ HeMAS: heterogeneous multi-agent system Experience Skills Attitude Source: IBM Knowledge 14

15. Clinical Decision Support • Combining objective patient information with experience, skills and attitude of the medical professional • The result is knowledge (insight and understanding) of complex medical problems • This knowledge supports the decisions on medical interventions 15

16. ATIA model Inference mechanisms Data preprocessing & Decision (inductive & deductive knowledge representation support reasoning) Unstructured data Information Structured data Findings HeMAS Experience, skills & attitude Effect/Outcome Knowledge (insights & understanding) Intervention Decision 16

17. Conclusions • Explosions of the healthcare cost drives the paradigm shift to real personalised medicine • Asks for big investments in innovative techniques and practices • Topsector policy on life sciences and health (on a national and European level) supports this 17

18. ATIA: BRINGS DATA TO LIFE Thank you for your attention! 18

19. Colofon Alan Turing Institute Almere Louis Armstrongweg 84 1311 RL Almere The Netherlands Phone: +31 365345985 E-mail: info@ati-a.nl Web: www.ati-a.nl Conferentiewebsite: www.atiaconference.nl 19

Gerard Jansen (CEO Alan Turing Institute) - Alan Turing Institute: brengt data tot leven

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