http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111965242-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_6a387c8d6e1f0eab5fe83d8e7722e01f
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-64
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N27-64
filingDate 2019-05-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0a4649c22f48ae568388639320bc7c6b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_adb4fe96f2602206b7aad384cb559fce
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_07089a6282afd5c7ae29dd27e8895d0f
publicationDate 2020-11-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-111965242-A
titleOfInvention Products, applications and methods for hepatocellular carcinoma-related screening and assessment
abstract The present invention proposes a product, application and method for hepatocellular carcinoma (Hepatocellular Carcinoma, HCC) related screening and evaluation. The present invention utilizes the body fluid samples of hepatocellular carcinoma patients and healthy people to be mixed with nanosphere materials, and passed through a matrix. Laser-assisted desorption ionization time-of-flight mass spectrometry (MALDI‑TOF‑MS) collects information on metabolic molecules in relevant body fluids, and uses artificial intelligence-based classification algorithms to distinguish and classify differences in metabolic molecular profiles between healthy and hepatocellular carcinoma patients , to achieve high accuracy, high specificity, and high sensitivity discrimination, or become a tool for hepatocellular carcinoma-related screening and assessment.
priorityDate 2019-05-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23985
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID482532689

Total number of triples: 15.