However, the technology, techniques and equipment developed to automate the process have massively cut costs and increased speed over that time.
> A new speed record in DNA sequencing may soon help families more quickly find answers to difficult and life-altering questions.
In just 7 hours, 18 minutes, a team of researchers at Stanford Medicine went from collecting a blood sample to offering a disease diagnosis. This unprecedented turnaround time is the result of ultra-rapid DNA sequencing technology paired with massive cloud storage and computing.
https://www.asbmb.org/asbmb-today/science/022722/record-brea...
You have to crawl before you can run.
[1] https://customercare.23andme.com/hc/en-us/articles/212196868...
Everything about this is bespoke (each treatment is based on the individual cells of a patient) and artisanal (the process requires a highly skilled individual to complete), and run by a guild (only so many people are allowed to run gene therapy trials).
On the other hand, since this is a cure, and probably reduces long-term medical care costs, it could very well actually be "cheaper" in the long run, which incentivizes the government to treat as many people as possible.
Plus gene therapy is in its infancy, so everything here is going to be novel and expensive. Novel treatments generally have a limited audience with even fewer practitioners, so you can't spread the R&D costs across many patients.
Prices will go down with time as patents expire and competitors emerge and this line of treatment (perhaps) becomes mainline, but that's on a ~20 year timeframe.
As more people become proficient at this treatment, the cost will come down. But to truly get it down to reasonable amount will require automation, and we're a long way off from automating crispr.
The research and the approval are extremely expensive and risky. Without a boatload of cash at the end of the tunnel, nobody would do it.
Patents will expire and in a generation, this will become cheap.