Well not necessarily... we handle code conversions (ex. like Cobol to Python+SQL+VueJS) much like we build modern applications. Generative AI translates the Cobol code into readable specifications and software developers take it from there (with or without the infamous Vibe coding). Historical data (inputs + outputs) are used to test the system, making the migration somewhat less risky than typical software development...

We helped about 100 clients deploy AI tools in the last 4 years. What works well are custom made semi-automations. Trying to automate 100% of a task is still, in 2024, a recipe for disaster. Less expensive this way too, as 70% of the cost of deployment is still plain old software development!

We started an open source vaccine discovery platform. The fact it was open source helped us a great deal, with lots of researchers jumping in, and companies such as Digital Ocean, ArangoDB and Explor.ai giving away free resources to help (Thanks!). The project is launched today, for those interested : https://epitopes.world/

Part of the job of a genetic counselor is patient facing.

So Much For Subtlety

Its a great framework. Development is fast. Deployments are even faster. Testing is easy... Sure, Javascript is far from the fastest language, but in our context we delivered many more tools and services than we would have in Java, Php or .NET. Its not perfect of course, but for us the benefits far outweighs the disadvantages. Long live NodeJS.

Calling it an AI is misleading. The paper itself reports it as machine learning "Machine Learning of Threedimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension"

There are already tests on the market looking for markers related to muscle fibers (fast twitch versus slow twitch). These are currently used to make personalized training plans. But genetic testing for specific aptitudes... that would be discrimination.

There is a number of services that are becoming available through a "passwordless" approach (either through email or sms authentication). I wish it could get mainstream because currently, the hardest part is explaining properly to users how to use the system. I wrote a post on this: https://biogeniq.ca/en/article...

You can also take the habit to always log in to your services through the "I forgot my password" options. At least it saves you from having to remember the password to your password manager!

I started using a passwordless approach. Its been a couple of months now, and I recently wrote an article about this: https://biogeniq.ca/en/article... Bottom line is, its possible to create a service that does not use passwords, but you still have to rely on other services (such as emails). And these are still protected by passwords...

Actually, it may or may not be good for you. Depends on your genes.

I honestly didn't thought so many of you knew HL7 :P

Very well resumed!

These days, genomic labs use custom panels, seeking information only for SNPs related to the study and voluntarily ignoring the rest. Apple would definitely not want to store SNPs related to "proclivity to aggression", but they might be interested to know if you can metabolize lactose. It makes a lot of sense for them to store some carefully chosen parts of your DNA in an iPhone (the less sensitive parts). Apple planned to replace the wallet, why not also the medical bracelet?