Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

BACKGROUND: Homologous Recombination Deficiency (HRD) is a pan-cancer predictive biomarker that identifies patients who benefit from therapy with PARP inhibitors (PARPi). However, testing for HRD is highly complex. Here, we investigated whether Deep Learning can predict HRD status solely based on ro...

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Detalles Bibliográficos
Autores principales: Loeffler, Chiara Maria Lavinia, El Nahhas, Omar S.M., Muti, Hannah Sophie, Seibel, Tobias, Cifci, Didem, van Treeck, Marko, Gustav, Marco, Carrero, Zunamys I., Gaisa, Nadine T., Lehmann, Kjong-Van, Leary, Alexandra, Selenica, Pier, Reis-Filho, Jorge S., Bruechle, Nadina Ortiz, Kather, Jakob Nikolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029072/
https://www.ncbi.nlm.nih.gov/pubmed/36945540
http://dx.doi.org/10.1101/2023.03.08.23286975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029072/
https://www.ncbi.nlm.nih.gov/pubmed/36945540
http://dx.doi.org/10.1101/2023.03.08.23286975

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