Dana M. Lewis | #OpenAPS 🤖 Profile picture
Apr 27, 2020 14 tweets 9 min read Read on X
What’s #CoEpi (@CoEpiApp) open source project been up to lately? A thread with some updates & frequently asked questions we’re seeing as there is growing awareness of the options of Bluetooth-based technology to support our fight against #COVID19 (+other transmissible illnesses).
If you’re not familiar with #CoEpi (@CoEpiApp), it’s an app for iOS and Android designed to use open source Bluetooth technology to anonymously log interactions with other devices and anonymously share symptoms to alert others. Image
How will this work?

First, #CoEpi @CoEpiApp does not have any user-identifiable information. No profile, no name, no username, no picture, etc. The app on the phone only has a randomly generated number that rotates every so often.
When the phone sees another device running a compatible app, it uses the first random number to create a second number that’s called a “temporary contact number” (or TCN). The second device logs this number locally - meaning on the phone itself. ImageImageImage
If you don’t share symptoms, nothing leaves your phone. You’ll still benefit from using #CoEpi by receiving exposure alerts if you get exposed.

If you do choose to share a symptom report, the only thing that leaves your phone is the random number and the symptom report.
The #CoEpi app periodically pulls down symptom reports from the server. It only receives random numbers and associated symptoms. It uses the numbers it receives to regenerate TCN associated with symptoms, and compares the regenerated TCN with the local list seen by that phone. ImageImage
If there’s a match (between the regenerated TCN and the TCN that the phone has previously seen), that exposure information is then revealed to the #CoEpi user, showing what symptoms they were potentially exposed to. Image
Note that this means #CoEpi (@CoEpiApp) is not doing traditional ‘contact tracing’. It’s doing Bluetooth-enabled anonymous exposure matching and alerting - based on symptom reports. We believe symptom reports are an important *leading* indicator of community transmission.
Contact tracing, while valuable & an essential public health strategy, is usually based off of confirmed #COVID19 tests, which may be limited due to supplies & other resources. Importantly, it’s also slowed down by delays between contagiousness, getting test, & receiving results.
(For more context on the timing implications of #COVID19 test strategies, @trvrb has an excellent thread with illustrations showing the timing and tight timelines to break chains of transmissions with testing and traditional contact tracing: )
#CoEpi is designed to empower users, no matter what your situation is: whether you feel you must stay at home until #COVID19 vaccine becomes available, or you're nervous about going back to work, or if you’re an essential worker supporting our community today.
#CoEpi can be used by individuals & their family, friends, and coworkers. It can also be used successfully by other small communities - such as a workplace, residential community, etc. If you’re interested in exploring a pilot for an organization or workplace, please do reach out
#CoEpi is now in early beta testing for individuals - if you’d like to join the list and support our efforts by providing feedback, you can sign up here: forms.gle/MLeKz9nerPvX8f…. We’ll keep everyone posted as we move to wider stages of testing in the next few weeks.
We can also still use more native (iOS, Android) developers, backend or BLE expertise, etc - you can also indicate on the form (forms.gle/MLeKz9nerPvX8f…) if you have other skills & time to contribute to #CoEpi at #WeAreNotWaiting speed!

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Keep Current with Dana M. Lewis | #OpenAPS 🤖

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More from @danamlewis

Jun 6, 2022
📣 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!

@DrMartindeBock1 presenting on behalf of CREATE team.

1/
Shout out to the amazing CREATE study team.

(PS - there’s another publication from our team about HCPs learning experience on open source AID for this study, too! doi.org/10.1111/dme.14…)

2/ #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.

3/ #ADA2022
Read 15 tweets
Jun 5, 2022
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.

Read 6 tweets
Sep 24, 2020
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.

/2 #EASD2020
Open source automated insulin delivery (AID) has evolved since the first open source system, #OpenAPS, was made available in Feb 2015!

There are now three open source AID systems (OpenAPS, Loop, AndroidAPS) commonly used by the #DIYAPS community.

/3 #EASD2020
Read 25 tweets
Jun 13, 2020
THREAD:

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”

(PDF available at bit.ly/DanaMLewisADA2…)
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
Read 12 tweets
Jun 13, 2020
THREAD:

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“

(full content also available at bit.ly/DanaMLewisADA2…) Image
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
Read 26 tweets
Jun 12, 2020
At #DData2020 today, I got to present (virtually!) a study called “AID-IRL”, which was an opportunity to learn from several people using commercial automated insulin delivery systems in the real world.

Here’s more information about the study, and what I learned!

THREAD: Image
1/ I did semi-structured phone interviews with 7 users of commercial AID systems in the last few months. The study was funded by @DiabetesMine. Study participants received $50 for their participation. #DData2020 Image
2/ I sought a mix of longer-time and newer AID users, using a mix of systems. Control-IQ (4) and 670G (2) users were interviewed; as well as (1) a CamAPS FX user since it was approved in the UK during the time of the study. #DData2020 Image
Read 28 tweets

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