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Room for Lunch: Arlington Room  Room for Evening Reception: Grand Prairie Room
NCBO <ul><li>National Center for Biomedical Ontology </li></ul>
Open Biomedical Ontologies (OBO) Foundry <ul><li>http://obofoundry.org </li></ul>
Session 2: Ontological approaches to describing the clinical phenotype
Background <ul><li>No common standards of representation for molecular biology for diseases </li></ul><ul><li>Biomedical o...
Clinical phenotype (SNAPSHOT)  RELATION TO TIME  GRANULARITY CONTINUANT OCCURRENT INDEPENDENT DEPENDENT ORGAN AND ORGANISM...
Clinical phenotype (SNAPSHOT)  RELATION TO TIME  GRANULARITY CONTINUANT OCCURRENT INDEPENDENT DEPENDENT ORGAN AND ORGANISM...
time pre-clinical  clinical
To address the problem of too many standards: impose orthogonality RELATION TO TIME  GRANULARITY CONTINUANT OCCURRENT INDE...
Strategy for adoption <ul><li>Build on success of Gene Ontology </li></ul><ul><li>Create and test guidelines on the basis ...
Cleveland Clinic Semantic DB <ul><li>40 years of legacy data of Cleveland Clinic Thoracic and Cardiovascular Surgery </li>...
Sivaram Arabandi: Reasoning with clinical exam and laboratory findings <ul><li>Examples </li></ul><ul><li>Measure outcomes...
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SMITH.ppt

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Transcript of "SMITH.ppt"

  1. 1. Room for Lunch: Arlington Room Room for Evening Reception: Grand Prairie Room
  2. 2. NCBO <ul><li>National Center for Biomedical Ontology </li></ul>
  3. 3. Open Biomedical Ontologies (OBO) Foundry <ul><li>http://obofoundry.org </li></ul>
  4. 4. Session 2: Ontological approaches to describing the clinical phenotype
  5. 5. Background <ul><li>No common standards of representation for molecular biology for diseases </li></ul><ul><li>Biomedical ontologies don’t interoperate </li></ul><ul><li>Most health data focused on billing needs </li></ul><ul><li>EHR systems don’t interoperate </li></ul><ul><li>Personalized medicine requires computer-aided selection from ever larger populations of candidates for clinical trials </li></ul>
  6. 6. Clinical phenotype (SNAPSHOT) RELATION TO TIME GRANULARITY CONTINUANT OCCURRENT INDEPENDENT DEPENDENT ORGAN AND ORGANISM Organism (NCBI Taxonomy) Anatomical Entity (FMA, CARO) Organ Function (FMP, CPRO) Phenotypic Quality (PaTO) Biological Process (GO) CELL AND CELLULAR COMPONENT Cell (CL) Cellular Component (FMA, GO) Cellular Function (GO) MOLECULE Molecule (ChEBI, SO, RnaO, PrO) Molecular Function (GO) Molecular Process (GO)
  7. 7. Clinical phenotype (SNAPSHOT) RELATION TO TIME GRANULARITY CONTINUANT OCCURRENT INDEPENDENT DEPENDENT ORGAN AND ORGANISM Organism (NCBI Taxonomy) Anatomical Entity (FMA, CARO) Organ Function (FMP, CPRO) Phenotypic Quality (PaTO) Biological Process (GO) CELL AND CELLULAR COMPONENT Cell (CL) Cellular Component (FMA, GO) Cellular Function (GO) MOLECULE Molecule (ChEBI, SO, RnaO, PrO) Molecular Function (GO) Molecular Process (GO)
  8. 8. time pre-clinical clinical
  9. 9. To address the problem of too many standards: impose orthogonality RELATION TO TIME GRANULARITY CONTINUANT OCCURRENT INDEPENDENT DEPENDENT ORGAN AND ORGANISM Organism (NCBI Taxonomy) Anatomical Entity (FMA, CARO) Organ Function (FMP, CPRO) Phenotypic Quality (PaTO) Biological Process (GO) CELL AND CELLULAR COMPONENT Cell (CL) Cellular Component (FMA, GO) Cellular Function (GO) MOLECULE Molecule (ChEBI, SO, RnaO, PrO) Molecular Function (GO) Molecular Process (GO)
  10. 10. Strategy for adoption <ul><li>Build on success of Gene Ontology </li></ul><ul><li>Create and test guidelines on the basis of what works </li></ul><ul><li>Find champions of good practice in use of terminology in clinical domains </li></ul><ul><li>who demonstrate research success and clinical success (“quality measures”) </li></ul>
  11. 11. Cleveland Clinic Semantic DB <ul><li>40 years of legacy data of Cleveland Clinic Thoracic and Cardiovascular Surgery </li></ul>Gene Blackstone
  12. 12. Sivaram Arabandi: Reasoning with clinical exam and laboratory findings <ul><li>Examples </li></ul><ul><li>Measure outcomes of different types of surgical procedures in a standard way </li></ul><ul><li>Provide resource to personalized medicine to identify ever larger populations of candidates for clinical trials </li></ul>
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