dddiaz1

https://dddiaz.com/

Blog about Genomics, Type 1 Diabetes, and Life.

Great to see it be OTC. But it's weird that it is advertised to last for 15 days, while the prescription version for T1ds/T2ds only lasts for 10 days. The hardware looks the same.

Very Cool!

I also have T1D and its a natural source for cool software engineering projects like this.

You might like these two posts: Using machine learning to predict when I excercised: https://dddiaz.com/post/glucose-datascience/

Using Genomic Software to explore my auto-immune genes: https://dddiaz.com/post/hla/

If you are interested in genomics, some other reads I recommend:

The Gene: An intimate history. An incredible retelling of how we discovered the gene, from Mendel and his pea plants to next generation sequencing. https://www.amazon.com/Gene-Intimate-History-Siddhartha-Mukh...

The Genome Odyssey A series of patient stories documenting the process of using genomics to diagnose and treat rare diseases in patients https://www.amazon.com/dp/1250234980

The author of this article, nick lane also has some popular bio books, in particular: Transformers, The deep chemistry of life. https://www.amazon.com/Transformer-Deep-Chemistry-Life-Death...

Another really cool use case for FPGAs is for ultra fast analysis of genomic data. This guide walks you through setting up an F1 instance (AWS FPGA) to do that: https://aws-quickstart.github.io/quickstart-illumina-dragen/

I have absolutely loved working in genomics. I am a huge believer that genomics will be a huge part of healthcare in the future, and i have two examples to motivate that point that I think may be interesting to the reader.

1) The Moderna vaccine was made with the help of illumina genome sequencing. They were able to sequence the virus and send that sequence of nucleotides over to moderna for them to develop the vaccine - turning a classically biology problem, into a software problem, reducing the need for them to bring the virus in house.

2) Illumina has a cancer screening test called Galleri, that can identify a bunch of cancers from a blood test. It identifies mutated dna released by cancer cells. This is huge, if we can identify cancer before someone even starts to show symptoms, the chances of having a useful treatment dramatically go up.

Disclaimer: I work for illumina, views my own.

I wrote some more about why genomics is cool from a technical point of view here (truly big data, hardware accelerated bioinformatics) : https://dddiaz.com/post/genomics-is-cool/

https://dddiaz.com/ You can see my real time blood glucose ( data comes from a continuous glucose monitor I am wearing ) and read some blog posts I have written analyzing my own genome (https://dddiaz.com/post/my-t1d-variants/ ), or using ml with glucose data to predict what days I exercised (https://dddiaz.com/post/glucose-datascience/ ).

I am also a T1D.

This post was a great summary of the constant mental juggling that happens when you have T1D. After almost 25 years with it, the cgm has been the biggest technological leap for management, but the mental aspect is critical too. I highly recommend seeking out groups where you can meet other T1D parents, because that will be a huge help! Seeing people who understand what you are going through, and can help talk you through situations, or heck, just be an informed listener can be huge! :)

I participated in JDRF as a kid, went to Diabetes camp (which I highly recommend!), and now participate in a young adults t1d group where we meet once a month for appetizers and drinks (pre covid, now we meet virtually).

When I am not doing those things, I also like to write and do projects around t1d. Here I write about converting a day's worth of cgm data into sound: https://dddiaz.com/post/glucose-sound/ or here I write about using my health-kit data from my apple watch and combining it with my Dexcom data to try and create a ML algorithm that can predict which days I exercised. https://dddiaz.com/post/glucose-datascience/

Trying to use ML to predict exercise type based on blood glucose data. https://dddiaz.com/post/glucose-datascience/

You can also play with the data directly using open source projects like nightscout. I used that to convert a days worth of glucose data into sound :) https://dddiaz.com/post/glucose-sound/

Unfortunately, that is intentional. I have the cloudfront distribution locked down due to the high levels of spam I was getting. I appreciate you alerting me to it though. Glad you were able to access over vpn.