scholarly journals Diabetes Podcast: Do It Yourself/Open Source Artificial Pancreas Systems: Part 1

2020 ◽  
Vol 11 (8) ◽  
pp. 1609-1619
Author(s):  
Sufyan Hussain ◽  
Dana Lewis
Keyword(s):  
Open Source ◽  
Artificial Pancreas ◽  
Do It Yourself

“Going Rogue”

2018 ◽  
Vol 4 (2) ◽  
pp. 137-156
Author(s):  
Samantha D. Gottlieb ◽  
Jonathan Cluck
Keyword(s):  
Open Source ◽  
Treatment Guidelines ◽  
Artificial Pancreas ◽  
Medical Model ◽  
Glucose Monitoring ◽  
Diabetes Research ◽  
Medical Surveillance ◽  
Patient Centered ◽  
Do It Yourself ◽  
Medical Category

Abstract This paper explores our collaborative STS and anthropological project with type 1 diabetes (T1D) hardware “hacking” communities, whose work focuses on reverse-engineering and extracting data from medical devices such as insulin pumps and continuous glucose monitoring systems (CGMS) to create do-it-yourself artificial pancreas systems (APS). Rather than using these devices within their prescriptive and prescribed purposes (surveillance and treatment monitoring), these “hackers” repurpose, reinterpret, and redirect of the possibilities of medical surveillance data in order to reshape their own treatment. Through “deliberate non-compliance” (Scibilia 2017) with cliniciandeveloped treatment guidelines, T1D device hackers deliberatively engage with clinicians’ conceptions and formulations of what constitutes “good treatment” and empower themselves in discussions about the effectiveness of treatment guidelines. Their non-compliance is, however, neither negligence, as implied by the medical category of patients who fail to comply with clinical orders, nor ignorance, but a productive and creative response to their embodied expertise, living with a chronic and potentially deadly condition. Our interlocutors’ explicit connections with the free and open source software principles suggests the formation of a “recursive public” (Kelty 2008) in diabetes research and care practices, from a patient-centered “medical model” to a diverse and divergent patient-led model. The philosophical and ethical underpinnings of the open source and collaborative strategies these patients draw upon radically reshape the principles that drive the commercial health industry and government regulatory structures.

scholarly journals Evolution of Do-It-Yourself Remote Monitoring Technology for Type 1 Diabetes

2020 ◽  
Vol 14 (5) ◽  
pp. 854-859
Author(s):  
Michelle Ng ◽  
Emily Borst ◽  
Ashley Garrity ◽  
Emily Hirschfeld ◽  
Joyce Lee
Keyword(s):  
Type 1 Diabetes ◽  
Open Source ◽  
Remote Monitoring ◽  
Diabetes Management ◽  
Rapid Development ◽  
Artificial Pancreas ◽  
Commercial Space ◽  
Technology Innovations ◽  
Do It Yourself

Background: The Nightscout Project is a leading example of patient-designed, do-it-yourself (DIY), open-source technology innovations to support type 1 diabetes management. We are unaware of studies that have described the evolution of patient-driven innovations from the Nightscout Project to date. Methods: We identified patient-driven, DIY innovations from posts and comments in the “CGM in the Cloud” private Facebook group as well as data from Twitter, GitHub, and the Nightscout website. For each innovation, we described its intent or its unaddressed need as well as the associated features and improvements. We conducted a thematic analysis to identify overarching patterns among the innovations, features, and improvements, and compared the timeline of innovations in the DIY space with the timing of similar innovations in the commercial space. Results: We identified and categorized innovations in Nightscout with the most commonly appearing themes of: visualization improvements, equipment improvements, and user experience improvements. Other emerging themes included: Care Portal support, safety, remote monitoring, decision support, international support, artificial pancreas, pushover notifications, and open-source collaboration. Conclusions: This rapid development of patient-designed DIY innovations driven by unmet needs in the type 1 diabetes community reflects a revolutionary, bottom–up approach to medical innovation. Nightscout users accessed features earlier than if they had waited for commercial products, and they also personalized their tools and devices, empowering them to become the experts of their own care.

In Silico Trials of an Open-Source Android-Based Artificial Pancreas: A New Paradigm to Test Safety and Efficacy of Do-It-Yourself Systems

2020 ◽  
Vol 22 (2) ◽  
pp. 112-120 ◽  
Author(s):  
Chiara Toffanin ◽  
Milos Kozak ◽  
Zdenek Sumnik ◽  
Claudio Cobelli ◽  
Lenka Petruzelkova
Keyword(s):  
Open Source ◽  
In Silico ◽  
Artificial Pancreas ◽  
New Paradigm ◽  
Safety And Efficacy ◽  
Do It Yourself

The Artificial Pancreas in Cyborg Bodies

2020 ◽  
pp. 412-430
Author(s):  
Anthony Ryan Hatch ◽  
Julia T. Gordon ◽  
Sonya R. Sternlieb
Keyword(s):  
Glucose Sensor ◽  
Social Inequalities ◽  
Infusion Pump ◽  
Artificial Pancreas ◽  
Small Scale ◽  
Glucose Levels ◽  
Loop Design ◽  
Access To Health ◽  
Do It Yourself ◽  
And Control

The new artificial pancreas system includes a body-attached blood glucose sensor that tracks glucose levels, a worn insulin infusion pump that communicates with the sensor, and features new software that integrates the two systems. The artificial pancreas is purportedly revolutionary because of its closed-loop design, which means that the machine can give insulin without direct patient intervention. It can read a blood sugar and administer insulin based on an algorithm. But, the hardware for the corporate artificial pancreas is expensive and its software code is closed-access. Yet, well-educated, tech-savvy diabetics have been fashioning their own fully automated do-it-yourself (DIY) artificial pancreases for years, relying on small-scale manufacturing, open-source software, and inventive repurposing of corporate hardware. In this chapter, we trace the corporate and DIY artificial pancreases as they grapple with issues of design and accessibility in a content where not everyone can become a diabetic cyborg. The corporate artificial pancreas offers the cyborg low levels of agency and no ownership and control over his or her own data; it also requires access to health insurance in order to procure and use the technology. The DIY artificial pancreas offers patients a more robust of agency but also requires high levels of intellectual capital to hack the devices and make the system work safely. We argue that efforts to increase agency, radically democratize biotechnology, and expand information ownership in the DIY movement are characterized by ideologies and social inequalities that also define corporate pathways.

scholarly journals The Do-It-Yourself Artificial Pancreas: A Comprehensive Review

2020 ◽  
Vol 11 (6) ◽  
pp. 1217-1235 ◽  
Author(s):  
Jothydev Kesavadev ◽  
Seshadhri Srinivasan ◽  
Banshi Saboo ◽  
Meera Krishna B ◽  
Gopika Krishnan
Keyword(s):  
Artificial Pancreas ◽  
Comprehensive Review ◽  
Do It Yourself

Open-source and do-it-yourself microfluidics

2021 ◽  
pp. 130624
Author(s):  
Joong Ho Shin ◽  
Sungyoung Choi
Keyword(s):  
Open Source ◽  
Do It Yourself

scholarly journals Do-it-yourself networks: a novel method of generating weighted networks

2017 ◽  
Vol 4 (11) ◽  
pp. 171227 ◽  
Author(s):  
D. W. Shanafelt ◽  
K. R. Salau ◽  
J. A. Baggio
Keyword(s):  
Social Sciences ◽  
Open Source ◽  
Network Theory ◽  
Source Code ◽  
Ecological Systems ◽  
Species Dispersal ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Novel Method ◽  
Do It Yourself

Network theory is finding applications in the life and social sciences for ecology, epidemiology, finance and social–ecological systems. While there are methods to generate specific types of networks, the broad literature is focused on generating unweighted networks. In this paper, we present a framework for generating weighted networks that satisfy user-defined criteria. Each criterion hierarchically defines a feature of the network and, in doing so, complements existing algorithms in the literature. We use a general example of ecological species dispersal to illustrate the method and provide open-source code for academic purposes.

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