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Title: | Linking worlds |
Other Titles: | Ligando mundosuma reflexão teórica sobre algumas precondições para realizar colaborações etnográficas em medicina de precisão |
Author: | Costa, José Carlos Pinto da |
Keywords: | Personalized Medicine Precision Medicine Biotech Labs Deep Play Participant Observation Ethnographic Collaborations SDG 3 - Good Health and Well-being |
Issue Date: | 2019 |
Abstract: | Precision, or personalized, medicine (PM) is a groundbreaking approach to medical care which aims to predict, prevent and treat diseases by studying, on an individual scale, the pathogenic potential of the association between genetic and environmental factors. As one of the most important outcomes of biotechnological research, PM is generated in the lab. Nonetheless, the impacts of PM will be observed outside of the lab, namely, on the modification of population’s patterns of use and access to healthcare. Taking MP as object of study, anthropologists are challenged to make a double reflection. The first consists in understanding which peculiarities should have an ethnography in order to grasp engineers’ and other experts’ underlying modes of knowing and doing inside de lab. The second, more analytical, consists in identifying the indicators revealed by that ethnography which may promote an interpretation of how these modes simultaneously mirror and resonate a given cultural will located both upstream and downstream the lab – from and to outside of it. The purpose of this paper is to reflect on the hypothesis stressing that an ethnographic collaboration might configure an effective way of doing this. |
Description: | UID/ANT/04038/2019 |
Peer review: | yes |
URI: | http://hdl.handle.net/10362/94847 |
DOI: | https://doi.org/10.14195/2182-7982_36_8 |
ISSN: | 0870-0990 |
Appears in Collections: | FCSH: CRIA - Artigos em revista nacional com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
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Linking_worlds_A_theoretical_reflection_on_some_preconditions_for_ethnographic_collaborations_in_personalized_medicine.pdf | 155,85 kB | Adobe PDF | View/Open |
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