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filingDate 2021-05-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1c8e2dd420dfd2aeaa7f664756807744
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publicationDate 2022-12-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber KR-20220160807-A
titleOfInvention Method for diagnosing and predicting cancer type based on cell-free nucleic acid and image analysis technology
abstract The present invention relates to a method for diagnosing cancer and predicting cancer types using cell-free nucleic acid fragments and image analysis technology. It relates to a method for diagnosing cancer and predicting cancer types using a method of generating an image including size and coverage information and then inputting the image into a learned artificial intelligence model and analyzing the calculated value. The method for diagnosing cancer and predicting cancer types using the size and coverage information of cell-free nucleic acid fragments according to the present invention is useful because it shows high sensitivity and accuracy because vectorized data is generated and analyzed using an AI algorithm.
priorityDate 2021-05-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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