Inferring clinically relevant molecular subtypes of pancreatic cancer from routine histopathology using deep…

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BibTeX

@article{akbar2026inferring,
  title = {{Inferring clinically relevant molecular subtypes of pancreatic cancer from routine histopathology using deep learning}},
  author = {Abdul Rehman Akbar and Alejandro Leyva and Ashwini Esnakula and Elshad Hasanov and Anne Noonan and Lingbin Meng and Susan Tsai and Vaibhav Sahai and Midhun Malla and Sarbajit Mukherjee and Upender Manne and Anil Parwani and Wei Chen and Ashish Manne and Muhammad Khalid Khan Niazi},
  journal = {Communications Medicine},
  year = {2026},
  month = oct,
  doi = {10.1038/s43856-026-01952-5},
  url = {https://www.nature.com/articles/s43856-026-01952-5},
  note = {CC BY-NC-ND 4.0},
}

RIS

TY  - JOUR
TI  - Inferring clinically relevant molecular subtypes of pancreatic cancer from routine histopathology using deep learning
AU  - Abdul Rehman Akbar
AU  - Alejandro Leyva
AU  - Ashwini Esnakula
AU  - Elshad Hasanov
AU  - Anne Noonan
AU  - Lingbin Meng
AU  - Susan Tsai
AU  - Vaibhav Sahai
AU  - Midhun Malla
AU  - Sarbajit Mukherjee
AU  - Upender Manne
AU  - Anil Parwani
AU  - Wei Chen
AU  - Ashish Manne
AU  - Muhammad Khalid Khan Niazi
PY  - 2026
DA  - 2026/10/06
JO  - Communications Medicine
DO  - 10.1038/s43856-026-01952-5
UR  - https://www.nature.com/articles/s43856-026-01952-5
SN  - 2730-664X
ER  -

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