Skip to main content

The Extremely Promising State of Diabetes Technology in 2018

Open Source Artificial Pancreas on iPhoneThis blog post is an update to these two Diabetes Technology blog posts:

You might also enjoy this video of the talk I gave at WebStock 2018 on Solving Diabetes with an Open Source Artificial Pancreas*.

First, let me tell you that insulin is too expensive in the US.

Between 2002 and 2013, the price of insulin jumped, with the typical cost for patients increasing from about $40 a vial to $130.

For some of the newer insulins like the ones I use, I pay as much as $296 a bottle. I have a Health Savings Plan so this is often out of pocket until I hit the limit for the year.

People in America are rationing insulin. This is demonstrable fact. I've personally mailed extra insulin to folks in need. I've meet young people who lost their insurance at age 26 and have had to skip shots to save vials of insulin.

This is a problem, but on the technology side there's some extremely promising work happening, and it's we have really hit our stride in the last ten years.

I wrote the first Glucose Management system for the PalmPilot in 1998 called GlucoPilot and provided on the go in-depth analysis for the first time. The first thing that struck me was that the PalmPilot and the Blood Sugar Meter were the same size. Why did I need two devices with batteries, screens, buttons and a CPU? Why so many devices?

I've been told every year the a Diabetes Breakthrough is coming "in five years." It's been 25 years.

In 2001 I went on a trip across the country with my wife, an insulin pump and 8 PDAs (personal digital assistants, the "iPhones" of the time) and tried to manage my diabetes using all the latest wireless technology...this was the latest stuff 17 years ago. I had just moved from injections to an insulin pump. Even now in 2018 Insulin Pumps are expensive, mostly proprietary, and super expensive. In fact, many folks use insulin pumps in the states use out of warranty pumps purchased on Craigslist.

Fast forward to 2018 and I've been using an Open Source Artificial Pancreas for two years.

The results speak for themselves. While I do have bad sugars sometimes, and I do struggle, if you look at my blood work my HA1c (the long term measurement of "how I'm doing" shows non-diabetic levels. To be clear - I'm fully and completely Type 1 diabetic, I produce zero insulin of my own. I take between 40 and 50 Units of insulin every day, and have for the last 25 years...but I will likely die of old age.

This is significant. Why? Because historically diabetics die of diabetes. While we wait (or more accurately, #WeAreNotWaiting) for a biological/medical solution to Type 1 diabetes, the DIY (Do It Yourself) community is just doing it ourselves.

Building on open hardware, open software, and reverse-engineered protocols for proprietary hardware, the online diabetes solution literally has their choice of open source pancreases in 2018! Who would have imagined it. You can choose your algorithms, your phone, your pump, your continuous glucose meter.

Today, in 2018, you can literally change the code and recompile a personal branch of your own pancreas.

Watch my 2010 YouTube video "I am Diabetic" as I walk you through the medical hardware (pumps, needles, tubes, wires) in managing diabetes day to day. Then watch my 2018 talk on Solving Diabetes with an Open Source Artificial Pancreas*.

I believe that every diabetic should be offered a pump, a continuous glucose meter, and trained on some kind of artificial pancreas. A cloud based reporting system has also been a joy. My wife and family can see my sugar in real time when I'm away. My wife has even called me overseas to wake me up when I was in a bad sugar situation.

Artificial Pancreas generations

As the closed-hardware and closed-software medical companies work towards their own artificial pancreases, the open source community feel those companies would better serve us by opening up their protocols, using standard Bluetooth ISO profiles and use security best practices.

Looking at the table above, the open source community is squarely in #4 and moving quickly into #5. But why did we have to do this ourselves? We got tired of waiting.

All in all, through open software and hardware, I can tell you that my life is SO MUCH BETTER than it was when I was first diagnosed. I figure we'll have this all figured out in about five years, right? ;)

THANK YOU!

MORE DIABETES READING

* Yes there are some analogies, stretched metaphors, and oversimplifications in this talk. This talk is an introduction to the space to the normally-sugared. If you are a diabetes expert you might watch and say...eh...ya, I mean, it kind of works like that. Please take the talk in in the thoughtful spirit it was intended.


Sponsor: Get home early, eat supper on time and coach your kids in soccer. Moving workloads to Azure just got easy with Azure NetApp Files. Sign up to Preview Azure NetApp Files!



© 2018 Scott Hanselman. All rights reserved.
     


from Scott Hanselman's Blog http://feeds.hanselman.com/~/568851230/0/scotthanselman~The-Extremely-Promising-State-of-Diabetes-Technology-in.aspx

Comments

  1. You made some good points there. I looked on the internet for the topic and found most persons will go along with with your blog. Cheap Shared Hosting

    ReplyDelete

Post a Comment

Popular posts from this blog

dotnet sdk list and dotnet sdk latest

Can someone make .NET Core better with a simple global command? Fanie Reynders did and he did it in a simple and elegant way. I'm envious, in fact, because I spec'ed this exact thing out in a meeting a few months ago but I could have just done it like he did and I would have used fewer keystrokes! Last year when .NET Core was just getting started, there was a "DNVM" helper command that you could use to simplify dealing with multiple versions of the .NET SDK on one machine. Later, rather than 'switching global SDK versions,' switching was simplified to be handled on a folder by folder basis. That meant that if you had a project in a folder with no global.json that pinned the SDK version, your project would use the latest installed version. If you liked, you could create a global.json file and pin your project's folder to a specific version. Great, but I would constantly have to google to remember the format for the global.json file, and I'd constan...

15 Web Design Trends to Watch in 2018

The modern world is full of extraordinary things that influence our imagination and mood. Our soul needs a perfect atmosphere and impressive spots. To apply such things in practice, we have submitted the list of the web trends that deserve your attention. Robert frost design analysis will meet all your wishes and expectations. Image Source Web Design Trends to Watch in 2018 1. More Organic Shapes Until this year, web design, as well as mobile design, were based on the right-angled and sharp-edged shapes. However, it seems that this year will bring some significant changes in the field of web design. The recent trends will offer the absolute rounded corners. In addition, the web design of 2018 will make the real things look like the cartoonish ones. 2.   Bold Minimalism Although some of you may think that this web design trend will not attract the Internet users. Indeed, the notion of minimalism is often associated with boredom and dullness. However, in this case, bold ...

R vs Python for Machine Learning

There are so many things to learn before to choose which language is good for Machine Learning. We will discuss each and everything about R as well as Python and the situation or problem in which situation we have to use which language. Let’s start Python and R are the two most Commonly used Programming Languages for Machine Learning and because of the popularity of both the languages Novice or you can say fresher are getting confused, whether they should choose R or Python language to commence their career in the Machine learning domain. Don’t worry guys through this article we will discuss R vs Python for Machine Learning. So, without exaggerating this article let’s get started. We will start it from the very Basics things or definitions. R vs Python for Machine Learning Introduction R is a programming language made by statisticians and data miners for statistical analysis and graphics supported by R foundation for statistical computing. R also provides high-quality graphics and...