Medical Informatics 4 Precision Medicine
Up to now single data modalities of data (gene-expression, sequence, molecular images, etc.) are often analyzed seperately. In contrast, MI4pMM aims at providing integrated data from various sources, analyzed by various tools, and thus readily usable for systems medicine. Infrastructure is provided via MUW-MI (MUW-Medical Informatics).
One stronghold of MedUni@AKH (compared to other, non-patient caring research institutions) will be fostered, namely investigations on genome-phenotype-relations.
Medical Informatics 4 personal Molecular Medicine (MI4pMM) displays the following functional elements (a. - i.):
- Routine patient data (e.g. lab-values) are integrated with research patient registers in the MUW-MI-RDA-platformi.
- RDA data may be enriched by computed quantities from imaging (clinical and molecular), stored in the MUW-MI-Bilddatenplattformii.
- Lab-values and molecular markers (e.g. derived from molecular images) may be analyzed with pharmacokinetic models, yielding individualized pharmacokinetic parametersiii.
- RDA-data, and computed pharmacokinetic parameters may be seen as "extended phenotype".
- MUW-MI-Bioiv will link the "extended phenotype" to genome-data (NGS, Expression, Proteomics), and generate "omics + phenotype" - data, ready for analysis. MUW-MI-Bio will support researches at the MedUni in contributing to the internationally visible NIH- dbGaPv database.
- Molecular Simulation (docking and molecular dynamics) may explain and predict molecular interactions for patient-individual allelesvi.
- Integrated data (a. - f.) may enter pathway- and network analysisvii, allowing for a comprehensive, Systems Medicine - approach.
- Integrated "omics + pheno" - data may be fed into machine learningviii (training sets) to extract meaningful features (diagnostics), statistical evaluationix and the development biomarkers ("induction process").
- After verification, rule engines derived from machine learning may support patient - individualized decision ("deduction process")x.
Data integration, as outlined above, is typically an infrastructural task, which can neither be financed via research grants, nor implemented by single institutions. It is understood as the very meaning of a "Center", such as the CeMSIIS, to enable cross-institutional informatics and house-wide IT-infrastructure for biomedical research projects.
- This activity should become part of the "Entwicklungsplan" of the MedUni
- Financing & project monitoring should be part of the "Zielvereinbarungen for the CeMSIIS" and in its realization be patronized by the Vice-Rektor for research.
- Scientific cooperations and research in medical informatics, statistics & systems science will be the synergetic offspring of these activities.
i CeMSIIS contact: Dorda, Wrba, Duftschmid
ii CeMSIIS contact: Schuster, Prinz, Fischer
iii CeMSIIS contact: Karch
iv CeMSIIS contact: Schreiner
v Data-Base for Genome and Phenotype, curated at the NIH.
vi CeMSIIS contact: Schreiner
vii CeMSIIS contact: Thurner
viii CeMSIIS contact: Dorffner
ix CeMSIIS contact: Schemper, Posch
x CeMSIIS contact: Adlassnig, Schuh
