| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ae1469ad4242cae377ff70bec2328cb2 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-158 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-80
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B25-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61P31-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6883 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61P31-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12N15-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6883 |
| filingDate |
2021-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_26ea3c078aaeb7548c18d920d2398112
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0dd473502a5a72c5b8013522e17322a3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c0de5657ceb09e3834d5ce4b69eeb825
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c38af2b0da25781685a7e97bd6a73736
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4ca695de58d28ede592d1e0bdabcc975
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a51a92fd71083b0b464ec27b00ba3a15
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f52d2bcaf698e22cc63aed0dcb643f45 |
| publicationDate |
2021-11-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2021231274-A1 |
| titleOfInvention |
Methods and systems for analyzing targetable pathologic processes in covid-19 via gene expression analysis |
| abstract |
The present disclosure provides systems and methods for machine learning classification and assessment of COVID-19 disease based on gene expression data. In an aspect, a method for determining a COVID-19 disease state of a subject may comprise: (a) assaying a biological sample obtained or derived from the subject to produce a data set comprising gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci; (b) computer processing the data set to determine the COVID-19 disease state of the subject; and (c) electronically outputting a report indicative of the COVID-19 disease state of the subject. |
| priorityDate |
2020-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |