http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2021083572-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f7f75780245ab029ad042060276ad22a |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-158 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q2600-154 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12Q1-6883 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C12Q1-6883 |
| filingDate | 2020-09-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c34d2ce0623f020431552bdf01dd02ef http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a0a818caff2374ace8a6fff3b5139f47 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8fe10b555e83b01fb9770e3d75d1bc5a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7dcc841765aadd52aece13c2eebca33b |
| publicationDate | 2021-05-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | WO-2021083572-A1 |
| titleOfInvention | Determining the sensitivity of skin to uv radiation |
| abstract | The present invention concerns methods for predicting MED of a subject's skin, comprising either determining the methylation levels of at least 2 CpG sites selected from certain genes in a skin sample obtained from the subject, and predicting the subject's MED based on the determined methylation levels using a machine learning model trained on data comprising known MEDs and corresponding known methylation levels of the at least 2 CpG sites, and/or determining the RNA expression levels of at least 2 genes selected from certain genes in a skin sample obtained from the subject, and predicting the subject's MED based on the determined RNA expression levels using a machine learning model trained on data comprising known MEDs and corresponding known RNA expression levels of the at least 2 genes, and/or determining the methylation level(s) and RNA expression level(s) of at least 2 features selected from the CpG sites in Table 3 and the genes in Table 1 in a skin sample obtained from the subject, wherein the features comprise at least one CpG site in Table 3 and at least one gene in Table 1, and predicting the subject's MED based on the determined methylation level(s) and RNA expression level(s) using a machine learning model trained on data comprising known MEDs and corresponding known methylation level(s) and RNA expression level(s) of the at least 2 features. The invention further relates to computer programs for carrying out the methods of the invention. |
| priorityDate | 2019-10-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 41.