Biological Modeling in the Discovery and Validation of Cognitive Dysfunctions Biomarkers

Modelling Influenza Vaccination Outcomes

“…We have explored the possibilities of a systems biology methodology approach to identify health parameters appropriate for use in models of influenza vaccination outcomes. In contrast to the classical, reductionist approach, where only a few, already recognized variables can be evaluated, a systems biology is an analysis of how all components in a biological system are interconnected to produce a function, or a phenotype [18,19]. Since a large amount of poorly proved data enter the analysis, research can not be driven by the strongly defined hypothesis, but is rather based on the multi-step research protocol.…”

“…Advanced computer-based techniques, within the context of Artificial Intelligence, are eligible for this purpose. The final aim of the protocol is however, to develop a statistically significant model that can accurately predict responses (outcomes) to changes within the system [18,19].…”

“…A major difficulty, in modelling influenza vaccination out-comes, is how to identify health parameters, suitable for general use [9]. To deal with the complexity of this task, we reached out for the concept of a systems biology and machine learning methods, originally applied to analyse high-dimensional, non-linear data, provided by the sophisticated diagnostic methods, such as genomics and proteomics [18,19]. Based on this approach, we showed that it is possible to construct useful model of influenza vaccination outcome [20].…”

Systems biology as a conceptual framework for research in family medicine; use in predicting response to influenza vaccination

“…Accordingly, identified key components may be reflective of the functional integration of the elements within the common biological network (in this case, linking the burden of chronic ageing diseases with the immune system dysfunction; Kitano, 2002;Iris, 2008). The rest of the pool of selected 16 parameters can also be useful, although in some other situations of vaccinations.…”

Modélisation intégrative prédictive et biologie expérimentale

“…En outre, plus la complexité dans laquelle s'insère « l'information » est grande, plus les effets négatifs qu'auront ces inconsistances sur tout processus analytique seront importants. preuves dans des domaines aussi variés que la cancéro-logie, les maladies neuro-dégénératives et l'embryologie [7][8][9][10][11][12]. Les fonctions des composantes biologiques sont dépen-dantes du contexte [2][3][4][5][6].…”