The Molecular Turn, Predictive Technologies and Diagnostic Fragmentation: An Interview with David Armstrong Petersen, A and Pienaar, Kiran 2021, The Molecular Turn, Predictive Technologies and Diagnostic Fragmentation: An Interview with David Armstrong, Science, Technology and Society, vol. 26, no. 1, pp. 140-145, doi: 10.1177/0971721820964888. Attached Files Name Description MIMEType Size Downloads Title The Molecular Turn, Predictive Technologies and Diagnostic Fragmentation: An Interview with David Armstrong Author(s) Petersen, A Pienaar, Kiran orcid.org/0000-0003-4770-7882 Journal name Science, Technology and Society Volume number 26 Issue number 1 Start page 140 End page 145 Total pages 6 Publisher SAGE PUBLICATIONS INDIA PVT LTD Publication date 2021-03-01 ISSN 0971-7218 0973-0796 Keyword(s) Social Sciences Management Business & Economics testing Summary Alan Petersen (AP) and Kiran Pienaar (KP): Thank you, David, for agreeing to share your perspectives in this interview. It is a pleasure and honour to have this opportunity to engage with your insights and scholarly contributions on surveillance medicine and the sociology of diagnosis. Looking back to your early contributions on surveillance medicine, these seem to anticipate recent diagnostic trends. What, if anything, has changed in the interim period? Language eng DOI 10.1177/0971721820964888 Indigenous content off Field of Research 1608 Sociology HERDC Research category C2 Other contribution to refereed journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30148670 Document type: Journal Article Collections: Faculty of Arts and Education School of Humanities and Social Sciences Related Links Link Description Publisher URL Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 05 Mar 2021, 13:36:57 EST Sat, 06 Mar 2021, 04:02:21 EST Mon, 08 Mar 2021, 07:06:49 EST Sat, 27 Mar 2021, 01:33:00 EST Sun, 20 Jun 2021, 06:04:49 EST Sat, 07 Aug 2021, 02:31:23 EST Sun, 07 Nov 2021, 12:16:38 EST Sun, 07 Nov 2021, 13:10:20 EST Sun, 07 Nov 2021, 13:35:49 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 12 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 05 Mar 2021, 13:36:57 EST