Prediction of cancer treatment response from histopathology images through imputed transcriptomics

Advances in artificial intelligence have paved the way for leveraging hematoxylin and eosin (H&E)-stained tumor slides for precision oncology. We present ENLIGHT-DeepPT, an approach for predicting response to multiple targeted and immunotherapies from H&E-slides. In difference from existing...

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Detalles Bibliográficos
Autores principales: Hoang, Danh-Tai, Dinstag, Gal, Hermida, Leandro C., Ben-Zvi, Doreen S., Elis, Efrat, Caley, Katherine, Sammut, Stephen-John, Sinha, Sanju, Sinha, Neelam, Dampier, Christopher H., Stossel, Chani, Patil, Tejas, Rajan, Arun, Lassoued, Wiem, Strauss, Julius, Bailey, Shania, Allen, Clint, Redman, Jason, Beker, Tuvik, Jiang, Peng, Golan, Talia, Wilkinson, Scott, Sowalsky, Adam G., Pine, Sharon R., Caldas, Carlos, Gulley, James L., Aldape, Kenneth, Aharonov, Ranit, Stone, Eric A., Ruppin, Eytan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543028/
https://www.ncbi.nlm.nih.gov/pubmed/37790315
http://dx.doi.org/10.21203/rs.3.rs-3193270/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543028/
https://www.ncbi.nlm.nih.gov/pubmed/37790315
http://dx.doi.org/10.21203/rs.3.rs-3193270/v1

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