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Spoer DL, Junn A, Bovill JD, Haffner ZK, Abadeer AI, Baker SB. Evolving the Cybersecurity of Clinical Photography in Plastic Surgery. Arch Plast Surg 2023; 50:443-444. [PMID: 37564722 PMCID: PMC10411159 DOI: 10.1055/a-2103-4168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/03/2023] [Indexed: 08/12/2023] Open
Abstract
Point-of-care photography and photo sharing optimize patient outcomes and facilitate remote consultation imperative for resident surgeons. This literature review and external pilot survey study highlight the risks associated with current practices concerning patient privacy and biometric security. In a survey of 30 plastic surgeon residents and attendings, we found that the majority took photos of patients with their iPhones and shared them with colleagues via Apple iMessage. These findings corroborate previous reports and highlight a lack of physician user acceptance of secure photo-sharing platforms. Finally, we frame a successful example from the literature in the context of a postulated framework for institutional change. Prioritizing the privacy and safety of patients requires a strategic approach that preserves the ease and frequency of use of current practices.
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Affiliation(s)
- Daisy L. Spoer
- Department of Plastic Surgery, Georgetown University School of Medicine, Washington, District of Columbia
- Department of Plastic and Reconstructive Surgery, MedStar Georgetown University Hospital, Washington, District of Columbia
| | - Alexandra Junn
- Department of Plastic and Reconstructive Surgery, MedStar Georgetown University Hospital, Washington, District of Columbia
| | - John D. Bovill
- Division of Plastic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Zoë K. Haffner
- Division of Plastic and Reconstructive Surgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Andrew I. Abadeer
- Department of Plastic and Reconstructive Surgery, MedStar Georgetown University Hospital, Washington, District of Columbia
| | - Stephen B. Baker
- Department of Plastic and Reconstructive Surgery, MedStar Georgetown University Hospital, Washington, District of Columbia
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Borg Y, Alsford S, Pavlika V, Zaikin A, Nesbeth DN. Synthetic biology tools for engineering Goodwin oscillation in Trypanosoma brucei brucei. Heliyon 2022; 8:e08891. [PMID: 35198764 PMCID: PMC8844716 DOI: 10.1016/j.heliyon.2022.e08891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 12/10/2021] [Accepted: 01/30/2022] [Indexed: 11/30/2022] Open
Abstract
Kinetoplastid protozoa possess properties that are highly divergent from the mammalian, yeast and bacterial cells more commonly used in synthetic biology and represent a tantalisingly untapped source of bioengineering potential. Trypanosoma brucei brucei (T. b. brucei), an established model organism for studying the Kinetoplastida, is non-pathogenic to humans and provides an interesting test case for establishing synthetic biology in this phylogenetic class. To demonstrate further the tractability of Kinetoplastida to synthetic biology, we sought to construct and demonstrate a Goodwin oscillator, the simplest oscillatory gene network, in T. b. brucei for the first time. We report one completed iteration of the archetypal synthetic biology Design-Build-Test-Learn (DBTL) cycle; firstly, using Ab initio mathematical modelling of the behaviour a theoretical, oscillatory, trypanosomal synthetic gene network (SGN) to inform the design of a plasmid encoding that network. Once assembled, the plasmid was then used to generate a stable transfectant T. b. brucei cell line. To test the performance of the oscillatory SGN, a novel experimental setup was established to capture images of the fluorescent signal from motion-restricted live cells. Data captured were consistent with oscillatory behaviour of the SGN, with cellular fluorescence observed to oscillate with a period of 50 min, with varying amplitude and linear growth trend. This first DBTL cycle establishes a foundation for future cycles in which the SGN design and experimental monitoring setup can be further refined.
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Affiliation(s)
- Yanika Borg
- The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, Bernard Katz Building, Gordon Street, University College London, London, WC1E 6BT, UK.,Department of Mathematics and Institute for Women's Health, University College London, Gower Street, London, WC1E 6BT, UK
| | - Sam Alsford
- Faculty of Infectious and Tropical Diseases & Department of Infection Biology, The London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Vasos Pavlika
- The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, Bernard Katz Building, Gordon Street, University College London, London, WC1E 6BT, UK
| | - Alexei Zaikin
- Department of Mathematics and Institute for Women's Health, University College London, Gower Street, London, WC1E 6BT, UK.,World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia.,Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Darren N Nesbeth
- The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, Bernard Katz Building, Gordon Street, University College London, London, WC1E 6BT, UK
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Alsaffar MM, Hasan M, McStay GP, Sedky M. Digital DNA lifecycle security and privacy: an overview. Brief Bioinform 2022; 23:6518049. [PMID: 35106557 DOI: 10.1093/bib/bbab607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 12/29/2021] [Accepted: 12/30/2021] [Indexed: 11/14/2022] Open
Abstract
DNA sequencing technologies have advanced significantly in the last few years leading to advancements in biomedical research which has improved personalised medicine and the discovery of new treatments for diseases. Sequencing technology advancement has also reduced the cost of DNA sequencing, which has led to the rise of direct-to-consumer (DTC) sequencing, e.g. 23andme.com, ancestry.co.uk, etc. In the meantime, concerns have emerged over privacy and security in collecting, handling, analysing and sharing DNA and genomic data. DNA data are unique and can be used to identify individuals. Moreover, those data provide information on people's current disease status and disposition, e.g. mental health or susceptibility for developing cancer. DNA privacy violation does not only affect the owner but also affects their close consanguinity due to its hereditary nature. This article introduces and defines the term 'digital DNA life cycle' and presents an overview of privacy and security threats and their mitigation techniques for predigital DNA and throughout the digital DNA life cycle. It covers DNA sequencing hardware, software and DNA sequence pipeline in addition to common privacy attacks and their countermeasures when DNA digital data are stored, queried or shared. Likewise, the article examines DTC genomic sequencing privacy and security.
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Affiliation(s)
- Muhalb M Alsaffar
- Department of Computing, AI and Robotics, School of Digital, Technologies and Arts, Staffordshire University, College Road, ST4 2DE, Staffordshire, United Kingdom
| | | | - Gavin P McStay
- Department of Biological Sciences, School of Health, Science and Wellbeing, Staffordshire University, College Road, Stoke-on-Trent, Staffordshire, ST4 2DE, United Kingdom
| | - Mohamed Sedky
- Department of Computing, AI and Robotics, School of Digital, Technologies and Arts, Staffordshire University, College Road, ST4 2DE, Staffordshire, United Kingdom
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