Refining the Treatment of Pancreatic Cancer From Big Data to Improved Individual Survival.
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| Title: | Refining the Treatment of Pancreatic Cancer From Big Data to Improved Individual Survival. |
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| Authors: | Bailey P; Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany.; Section Surgical Research, University Clinic Heidelberg, Heidelberg 69120, Germany.; School of Cancer Sciences, University of Glasgow, Glasgow, G61 1QH, UK., Zhou X; Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany.; Section Surgical Research, University Clinic Heidelberg, Heidelberg 69120, Germany., An J; Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany.; Section Surgical Research, University Clinic Heidelberg, Heidelberg 69120, Germany., Peccerella T; Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany.; Section Surgical Research, University Clinic Heidelberg, Heidelberg 69120, Germany., Hu K; Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany.; Section Surgical Research, University Clinic Heidelberg, Heidelberg 69120, Germany., Springfeld C; Department of Medical Oncology, National Center for Tumor Disease (NCT), Heidelberg University Hospital, Heidelberg, Germany., Büchler M; Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany.; Section Surgical Research, University Clinic Heidelberg, Heidelberg 69120, Germany., Neoptolemos JP; Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany.; Section Surgical Research, University Clinic Heidelberg, Heidelberg 69120, Germany. |
| Source: | Function (Oxford, England) [Function (Oxf)] 2023 Mar 21; Vol. 4 (3), pp. zqad011. Date of Electronic Publication: 2023 Mar 21 (Print Publication: 2023). |
| Publication Type: | Journal Article; Review; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101770668 Publication Model: eCollection Cited Medium: Internet ISSN: 2633-8823 (Electronic) Linking ISSN: 26338823 NLM ISO Abbreviation: Function (Oxf) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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