# OnCo record jakob-nikolas-kather (person). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)". Whole corpus: https://onco.cc/api/v1/onco.nt
@prefix schema: <https://schema.org/> .
@prefix onco: <https://onco.cc/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://onco.cc/people/jakob-nikolas-kather/>
  a schema:Person ;
  onco:kind "person" ;
  schema:identifier "jakob-nikolas-kather" ;
  schema:name "Jakob Nikolas Kather"@en ;
  schema:description "Showed that deep learning can read genetic features like microsatellite instability directly from routine pathology slides."@en ;
  schema:url <https://onco.cc/people/jakob-nikolas-kather/> ;
  schema:dateModified "2026-09-10"^^xsd:date ;
  schema:citation <https://pubmed.ncbi.nlm.nih.gov/?term=Kather%20JN%5BAuthor%5D%20deep%20learning%20histology> ;
  onco:tag "ai", "pathology", "biomarkers", "germany" ;
  schema:jobTitle "Professor of Clinical Artificial Intelligence, Else Kröner Fresenius Center for Digital Health, TU Dresden; Medical Oncologist, NCT Dresden" ;
  schema:sameAs <https://orcid.org/0000-0002-3730-5348> ;
  onco:cancers <https://onco.cc/cancers/colorectal/>, <https://onco.cc/cancers/gastric/> ;
  onco:technologies <https://onco.cc/technologies/digital-pathology-ai/>, <https://onco.cc/technologies/pathology-foundation-model/> ;
  onco:institutions <https://onco.cc/institutions/nct-dresden/> ;
  onco:journals <https://onco.cc/journals/nature-cancer/> ;
  schema:affiliation <https://onco.cc/institutions/nct-dresden/> .