Paradigm shift in healthcare using technological solutions

1. PRECISION MEDICINE
dal genoma
all’esposoma
Roberto Mollica
Bergamo, 14 giugno 2016
SERT 3 – ATS Metropolitana di Milano

3. PARADIGM SHIFT #3
Precision medicine System medicine
PARADIMG SHIFT #2
Big data Analytics
PARADIGM SHIFT #1
Omran Omics

4. PARADIGM SHIFT #3
Precision medicine System medicine
PARADIMG SHIFT #2
Big data Analytics
PARADIGM SHIFT #1
Omran Omics

7. Una scienza omica studia un argomento il cui suffisso termina in -oma. Per
questa ragione, la trascrittomica studia il trascrittoma, la genomica il genoma,
la proteinomica il proteoma e via dicendo.

8. THE NEED OF INVENTING “OMICS”
The need to create these words rose from the need to study
holistic or the totality of the biology of the systems (systems
biology).

9. Phenomics

10. Phenomics

13. Dati clinici ~10%
Professionisti della salute
Dati genetici ~30%
Laboratorio
Dati esogeni ~60%
Prodotti da clienti
“Health Policy Brief: The Relative Contribution
of Multiple Determinants to Health
Outcomes,” Health Affairs, August 21, 2014.

14. Dati esogeni ~60%
Prodotti da clienti

15. Dati esogeni ~60%
Prodotti da clienti

16. Dati esogeni ~60%
Prodotti da clienti

17. Dati esogeni ~60%
Prodotti da clienti

18. The bands biometric sensors monitor tangible metrics such as moods, happiness,
stress and even fertility tracking. The standard features of tracking fitness,
activity, and sleep patterns are also present, making this wearable tech a gateway
into both mind and body.
Dati esogeni ~60%
Prodotti da clienti

19. PARADIGM SHIFT #3
Precision medicine System medicine
PARADIMG SHIFT #2
Big data Analytics
PARADIGM SHIFT #1
Omran Omics

21. Catena del valore dei dati personali
Dal “produttore” al “consumatore/beneficiario”

24. Big Data management by Analytics

29. PARADIGM SHIFT #3
Precision medicine System medicine
PARADIMG SHIFT #2
Big data Analytics
PARADIGM SHIFT #1
Omran Omics

30. Big Data and the paradigm shift
No longer we will pool data from individuals to predict
what happens at the population level.
Instead, population data will be so comprehensive that it
will accurately predict what happens to an individual.

38. Omics
Schema semplificato di organizzazione sistemica del vivente

39. Abstract
The National Institutes of Health's (NIH) commitment to improving health outcomes for
women and men through rigorous science has been compromised by the lack of basic
science evidence obtained from female animals. To correct this limitation, in June 2015 the
NIH announced expectations that "sex," as a biological variable, be included into research
design and analysis in studies of vertebrate animals and humans (NOT-OD-15-102).
Scientists must take the responsibility to implement this directive. However, in doing so,
there is a risk that attention could be restricted to only studies of direct comparison
between female/women and male/men. By contrast, understanding how sex influences
health and disease needs to take a programmatic approach that includes the study of sex-
specific conditions. A programmatic approach will assure the advancement of knowledge to
improve women's health.

46. Suggestion from Pristipino C.

47. Diseasoma (x..ome)
System medicine

49. Average patient
«one-size-fits-all»
Bio-psycho-socio-environmental
approach

51. "YOU CAN'T DO TODAY'S JOB
WITH YESTERDAY'S METHODS
AND BE IN BUSINESS TOMORROW"

52. Addiction and gender. Bergamo 14 giugno 2016
Roberto Mollica