dc.contributor.author |
Vollmer, Michael |
|
dc.date.accessioned |
2024-07-01T08:48:04Z |
|
dc.date.available |
2024-07-01T08:48:04Z |
|
dc.date.issued |
2024 |
|
dc.identifier.issn |
2045-2322 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/154608 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Berlin : Nature Portfolio |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1038/s41598-024-56172-5 |
de_DE |
dc.subject.ddc |
500 |
de_DE |
dc.title |
Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20240422000000_00295 |
|
utue.personen.roh |
Vollmer, Andreas |
|
utue.personen.roh |
Hartmann, Stefan |
|
utue.personen.roh |
Vollmer, Michael |
|
utue.personen.roh |
Shavlokhova, Veronika |
|
utue.personen.roh |
Brands, Roman C. |
|
utue.personen.roh |
Kuebler, Alexander |
|
utue.personen.roh |
Wollborn, Jakob |
|
utue.personen.roh |
Hassel, Frank |
|
utue.personen.roh |
Couillard-Despres, Sebastien |
|
utue.personen.roh |
Lang, Gernot |
|
utue.personen.roh |
Saravi, Babak |
|
dcterms.isPartOf.ZSTitelID |
Scientific Reports |
de_DE |
dcterms.isPartOf.ZS-Issue |
Article 5687 |
de_DE |
dcterms.isPartOf.ZS-Volume |
14 (1) |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |