Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis

British Journal of Cancer 2026 Open access

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Authors: Manabu Takamatsu, Mariko Tanaka, Yohei Masugi, Yosuke Inoue, Hiroko Nagano, Tho Ngoc-Quynh Le, Kenji Nishida, Yui Sawa, Kota Sugiura, Yoshikuni Kawaguchi, Yusuke Kazami, Yousuke Nakai
+16 more Tsuyoshi Hamada, Tatsunori Suzuki, Kensuke HARA, Yutaka Kurebayashi, Tsuyoshi Takeda, Naoki Sasahira, Yosuke Uematsu, Sho Uemura, Mitsuhiro Fujishiro, K. Hasegawa, M. Kitago, Yu Takahashi, Shigeki Sekine, Tetsuo Ushiku, Kengo TAKEUCHI, on behalf of the GTK Pancreatic Cancer Study Group in Japan
DOI: 10.1038/s41416-025-03308-7
Cited by: 2
References: 40

Fields of Study & Subjects

Pancreatic and Hepatic Oncology Research AI in cancer detection Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
British Journal of Cancer
Publisher
Springer Science and Business Media LLC
Volume
134
Issue
6
Pages
849–859
Publication date
8 January 2026
Language
EN