Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) has been left behind in the evolution of personalized medicine. Predictive markers of response to therapy are lacking in PDAC despite various histological and transcriptional classification schemes. We report an artificial intelligence (AI) approach to histolo...

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Detalles Bibliográficos
Autores principales: Nimgaonkar, Vivek, Krishna, Viswesh, Krishna, Vrishab, Tiu, Ekin, Joshi, Anirudh, Vrabac, Damir, Bhambhvani, Hriday, Smith, Katelyn, Johansen, Julia S., Makawita, Shalini, Musher, Benjamin, Mehta, Arnav, Hendifar, Andrew, Wainberg, Zev, Sohal, Davendra, Fountzilas, Christos, Singhi, Aatur, Rajpurkar, Pranav, Collisson, Eric A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140610/
https://www.ncbi.nlm.nih.gov/pubmed/37044094
http://dx.doi.org/10.1016/j.xcrm.2023.101013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140610/
https://www.ncbi.nlm.nih.gov/pubmed/37044094
http://dx.doi.org/10.1016/j.xcrm.2023.101013

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