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Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a biomarker in...

Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a biomarker in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5e44aea6aa9e432da4bc8eedf2075dee

Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a biomarker in locally advanced unresectable thymic epithelial neoplasm: A single‐center, retrospective, longitudinal cohort study

About this item

Full title

Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a biomarker in locally advanced unresectable thymic epithelial neoplasm: A single‐center, retrospective, longitudinal cohort study

Publisher

Tianjin: John Wiley & Sons, Inc

Journal title

Thoracic cancer, 2023-10, Vol.14 (30), p.3001-3011

Language

English

Formats

Publication information

Publisher

Tianjin: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

BackgroundThymic epithelial tumors (TET) are rare malignancies and lack well-defined biomarkers for neoadjuvant therapy. This study aimed to evaluate the clinical utility of artificial intelligence (AI)-powered tumor-infiltrating lymphocyte (TIL) analysis in TET.MethodsPatients initially diagnosed with unresectable thymoma or thymic carcinoma who u...

Alternative Titles

Full title

Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a biomarker in locally advanced unresectable thymic epithelial neoplasm: A single‐center, retrospective, longitudinal cohort study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5e44aea6aa9e432da4bc8eedf2075dee

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5e44aea6aa9e432da4bc8eedf2075dee

Other Identifiers

ISSN

1759-7706

E-ISSN

1759-7714

DOI

10.1111/1759-7714.15089

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