| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_568ecc175881db01d301ea8869725262 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30068
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10116 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N24-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
| filingDate |
2019-04-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f0d394f917053babf8aedb592c68b876
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f5159a5afa14cfbad7be21958011f3c8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b02f7f2bfa7920eaa3bb155e10df9c32
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_14191e8cf1ee0d9eb38134f568f8c61b |
| publicationDate |
2022-03-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-3959718-A1 |
| titleOfInvention |
Device and method for localising or identifying malignancies |
| abstract |
Device and Method for localising or identifying malignancies A method performed in a computing device.The method comprises receiving at the computing device a plurality of spectra acquired from a corresponding plurality of aliquots containing a biophysiological carrier protein. At least one of a concentration of a spin probe and a concentration of a polar reagent varies between the aliquots. The computing device then determines biophysical parameters based on the received spectra and applies at least parts of the received spectra and the biophysical parameters as an input to a trained logistic regression model. The logistic regression model trained to determine a probability of applied input parameters relating to one or more of a plurality of predetermined diseases and/or disease localisations. The trained model is used to determine a probability of the input parameters relating to one or more of said predetermined diseases and/or disease localisations and outputs a result of the determination. |
| priorityDate |
2019-04-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |