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Radiation Biology in Cancer Research
Open accessAbstract
kind of incredulity in the reader, he can be sure that Professor Weiss has anticipated every objection and pre-empted any ground for complaint. It is he who acknowledges that the matrix of his text is formed of "may", "could", "might", etc. But the disarming recital of conditionals and the mollifying play of doubt against confidence, of caution against boldness, should not be allowed to conceal some less explicit incongruities. Whilst admitting the impertinence of the unrealistic animal-model tumours which have been used to formulate clinical prescriptions, the author draws indiscriminately on information obtained from them, as given in many of the 460 references supporting his 62 pages of text. What Professor Weiss intended he has done only too well; in the wake of widespread clinical disillusionment with theoretical tumour immunotherapy, he has reassured the committed that they can still be in businessbig business. But this may not be the best "psychological" moment to outline fresh projects; the crucial specific immunogen remains elusive! H. B. HEWITT
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Cited by
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Track structure analysis of ultrasoft X-rays compared to high- and low-LET radiations
Goodhead, D. T., & Nikjoo, H. (1989) · International Journal of Radiation Biology · doi:10.1080/09553008914550571 · Cited by 223
Metadata
- Authors
- Nias, A. H. W.
- Venue
- British Journal of Cancer
- Published
- 1980-10
- Volume
- 42
- Issue
- 4
- Pages
- 628-629
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2045369040
- Cited by
- 778
- References
- 0
- Type
- book review
- Language
- en
- Open access
- green
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- Nias, A. H. W. (1980). Radiation Biology in Cancer Research. British Journal of Cancer. https://doi.org/10.1038/bjc.1980.293
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.