Time flies when you’re staying at home 7 days a week and working on an open source project! Here’s the latest on #CoEpi:
Reminder: the #CoEpi team is building a privacy-first system for anonymous Bluetooth-based contact tracing / exposure matching based on voluntary symptom sharing and/or confirmed COVID-19 test results.
Communities of close contacts can begin protecting themselves with #CoEpi immediately; there is no scale required to achieve benefit to closed user groups (e.g. you and your family and friends).
How? #CoEpi allows sharing symptoms of any transmissible illnesses, most notably COVID-19.
But, it’s also designed as a general health & wellness app - remember, the app can also be used to log symptoms of (and help stop transmission of) cold and flu, etc.
It’s open source, which means a few things:
1) everything we’re doing is open 2) we can collaborate with and across other relevant projects (see below) 3) we can work on something for ASAP + also build capability for future integration with public health entities.
Some details on where we are:
#CoEpi has had dozens of calls with others working on similar projects, and are actively collaborating with COVID-watch.org and others on a shared BLE codebase that will be leveraged by multiple contact-tracing projects.
This code (that #CoEpi will also use for the BLE part of the app) represents the most advanced technology currently available for those seeking to work on contact-tracing solutions for COVID-19.
Some of #CoEpi’s Bluetooth technology has already been incorporated into the latest beta of the MIT Private Kit Android app: ~12,000 phones are now beaming BLE.
The #CoEpi team has also spoken with members of the team who built TraceTogether for Singapore. #CoEpi and the teams we’re partnered with are also in discussions with contacts at CDC, WHO, and many other national health authorities interested in leveraging this tech.
1) More mobile developers! If you’re a native mobile developer, please PM & we can get you connected. 2) Not a dev? Sign up via this form to be an early tester - we expect to have a v0.1 ready to test within days. forms.gle/MLeKz9nerPvX8f…
Thanks!
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1/ What if there was a tool to help identify who might have exocrine pancreatic insufficiency (EPI/PEI)?
EPI is a significant issue for many people with diabetes (likely more common than gastroparesis or celiac).
Here's how such a tool can help PWD👇🏼🧵
#ADASciSessions #ADA2024
2/ The Exocrine Pancreatic Insufficiency Symptom Score (EPI/PEI-SS) has 15 symptoms, rated by how frequent they are and how bothersome they are (aka severity).
n=324 ppl participated in a real-world survey.
n=118 were people with diabetes (PWD)!
#ADASciSessions #ADA2024
3/ Methods:
EPI/PEI-SS scores were analyzed and compared between PWD (n=118), with EPI (T1D: n=14; T2D: n=20) or without EPI (T1D: n=78; T2D: n=6), and people without diabetes (n=206) with and without EPI.
📣 Presentation of the primary outcome results from the CREATE Trial, which assessed open source automated insulin delivery (AID) compared to sensor-augmented pump therapy (SAPT) in adults & kids with T1D, at #ADA2022!
The CREATE trial aimed to study the efficacy and safety of an open source automated insulin delivery system, with a large scale, long term randomized controlled trial.
I just realized it's been 3 (!) years since I published my book on automated insulin delivery, with the goal of helping increased conversation and understanding of AID technology for people with diabetes, their loved ones, and healthcare providers!
I'm still very proud that it is available to read for free online, free to download a PDF (both of which have been done thousands of times each: ArtificialPancreasBook.com), or as an e-book, paperback, and now hardback copy. Proceeds from the purchased copies go to Life For A Child.
And, more recently, it has also been translated into French by the wonderful Dr. Mihaela Muresan and Olivier Legendre!
The French translation is available in Kindle, paperback, hardback, or free PDF download formats as well.
1/THREAD - my presentation is kicking off at #EASD2020 about open source automated insulin delivery.
(You can see a full version of my presentation here: bit.ly/DanaMLewisEASD…, or read the summary below!)
Note we should differentiate between open source (where the source of something is open), and DIY (do-it-yourself) implementations of open source code. Open source means it can be reviewed and used by individuals (thus, DIY or #DIYAPS) or by companies.
Poster 988-P at #ADA2020 by Jennifer Zabinsky, Haley Howell, Alireza Ghezavati, @DanaMLewis Andrew Nguyen, and Jenise Wong: “Do-It-Yourself Artificial Pancreas Systems Reduce Hyperglycemia Without Increasing Hypoglycemia”
This was a retrospective double cohort study that evaluated data from the @OpenAPS Data Commons (data ranged from 2017-2019) and compared it to conventional sensor-augmented pump (SAP) therapy from the @Tidepool_org Big Data Donation Project. #ADA2020
One month of CGM data (with more than 70% of the month spent using CGM), as long as they were >1 year of living with T1D, was used from the @OpenAPS Data Commons. People could be using any type of DIYAPS (OpenAPS, Loop, or AndroidAPS) and there were no age restrictions. #ADA2020
Poster 99-LB at #ADA2020 by @danamlewis, @azure_dominique, and Lance Kriegsfeld, “Multi-Timescale Interactions of Glucose and Insulin in Type 1 Diabetes Reveal Benefits of Hybrid Closed Loop Systems“
Background - Blood glucose and insulin exhibit coupled biological rhythms at multiple timescales, including hours (ultradian, UR) and the day (circadian, CR) in individuals without diabetes. But, biological rhythms in longitudinal data have not been mapped in T1D. #ADA2020
It is not known exactly how glucose and insulin rhythms compare between T1D and non-T1D, and whether rhythms are affected by type of therapy (Sensor Augmented Pump (SAP) or Hybrid Closed Loop (HCL)). #ADA2020