Classical mathematical models for prediction of response to chemotherapy and immunotherapy.
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| Title: | Classical mathematical models for prediction of response to chemotherapy and immunotherapy. |
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| Authors: | Ghaffari Laleh N; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Loeffler CML; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Grajek J; Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland., Staňková K; Faculty of Technology, Policy and Management, Delft University of Technology, Delft, The Netherlands., Pearson AT; Department of Medicine, University of Chicago Medicine, Chicago, Illinois, United States of America., Muti HS; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Trautwein C; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Enderling H; Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, United States of America., Poleszczuk J; Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.; Department of Computational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland., Kather JN; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.; Medical Oncology, National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2022 Feb 04; Vol. 18 (2), pp. e1009822. Date of Electronic Publication: 2022 Feb 04 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1009822 |
