| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_070d803ceb4376c87158f6a9c76552a0 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2800-7028
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2800-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-497
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2033-4975 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-082
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-497
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-658
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-042
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-65
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0059 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-497
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-65 |
| filingDate |
2019-05-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d442baa18a6a020a13681a2735713e3e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5ec71dda032da79dc06a9cc307cc018c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_69e30f8f2b1aca6f8776421b0851663c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f0457da4c422361719b2fefc0d979d72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_86f49bc9b2e09a1ba3e6a056f270e6d3 |
| publicationDate |
2021-03-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-3795983-A1 |
| titleOfInvention |
Exhalation-based lung cancer diagnosis method and system |
| abstract |
The present disclosure relates to exhalation-based lung cancer diagnosis method and system. The method may include: a step of preparing a surface-enhanced Raman spectroscopy (SERS) substrate; a step of eluting volatile organic compounds (VOCs) included in each of a plurality of cells, supplying each of the cellular VOC eluates to the SERS substrate and then measuring each of cellular SERS signals; a step of learning the signal pattern of each cell by applying deep learning to each of the cellular SERS signals; a step of collecting a patient's exhaled gas and liquefying the same using silicone oil, supplying the liquefied patient's exhaled gas to the SERS substrate and measuring an exhalation SERS signal, and then identifying the signal pattern of the exhaled gas by analyzing the exhalation SERS signal through the deep learning result; and a step of comparing and analyzing the signal pattern of the each of the cellular SERS signals and the signal pattern of the exhalation SERS signal, thereby identifying the cellular SERS signal having the highest similarity to the exhalation SERS signal, and confirming and notifying whether a lung cancer cell is present or not on the basis thereof. |
| priorityDate |
2018-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |