ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies.
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| Title: | ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies. |
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| Authors: | Tsilimigras DI; Department of Surgery, Division of Surgical Oncology, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA., Mehta R; Department of Surgery, Division of Surgical Oncology, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA., Pawlik TM; Department of Surgery, Division of Surgical Oncology, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA. tim.pawlik@osumc.edu. |
| Source: | Annals of surgical oncology [Ann Surg Oncol] 2020 Apr; Vol. 27 (4), pp. 1120-1121. Date of Electronic Publication: 2019 Nov 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 9420840 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4681 (Electronic) Linking ISSN: 10689265 NLM ISO Abbreviation: Ann Surg Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1534-4681 |
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| DOI: | 10.1245/s10434-019-08068-2 |
