| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_11f4f33ec0805b4f6300a5666182e78c |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4842
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N24-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-465 |
| classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N24-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-465
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-49 |
| filingDate |
2013-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ac3402c876153af4e26edb6f2aecd545
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ea41720e66d69bdf9130ff11df27befe
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0d9745554f3a94b732e4da94ff242785
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bffc99bfdf5dc8ae55fe871ae072aec3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_40340fce460f629d13bda7f3b79bd299
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_655d6285a3b129d8d640834715337b2b |
| publicationDate |
2021-05-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-3822651-A1 |
| titleOfInvention |
Multi-parameter diabetes risk evaluations |
| abstract |
Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject. |
| priorityDate |
2012-06-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |