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US Regulators Find Serious Deficiencies At Theranos Lab (wsj.com)
An anonymous reader writes: 2016 has not started well for blood-testing startup Theranos. Already facing allegations of data manipulation, the Centers for Medicare and Medicaid Services have found problems with Theranos' laboratory in Newark, California, putting the company's relationship with the Medicare program in danger. WSJ reports: "It isn't clear exactly what regulators have faulted Theranos for in their latest inspection, which took several months. Adverse findings would be another regulatory setback for one of Silicon Valley's highest-profile startups, valued at about $9 billion in 2014. Theranos already has stopped collecting tiny samples of blood from patients' fingers for all but one of its tests while it waits for the Food and Drug Administration to review the company's applications for wider use of the proprietary vials called 'nanotainers.' In October, the FDA said it had determined that the nanotainers were an 'uncleared medical device.'"
So, going from a revolutionary plan to do tests with markedly less blood using your super-neat proprietary hardware to not even being able to operate off-the-shelf hardware from competitors well enough to satisfy Medicare?
I guess we can't all be disrupters...
Theranos has been making extraordinary claims and providing no proof (to the public, anyway).
Why do you say they are technically savvy? Their marketing appears to be savvy, but all the impartial stories I've seen (including from Reason, which is usually against regulators and incumbents who benefit from regulations) give the impression of dodgy technology at Theranos.
The real story here is not about some medical device or a failed test.
The story, and reason we take pleasure in this downfall is because a charismatic, supposed prodigy, Stanford-privileged, everyone-wants-to-believe-in-successful-woman CEO, who was able to convince funders based on flashy visions and compelling talk, has been found out to have nothing behind the emperor's clothes. And that so many people who are purportedly expert at evaluating technology got collectively duped/brainwashed into believing a whole bunch of fluff based on no more than a TED talk-level technology pitch.
While others who are working on real demonstrable technology, and do not get the benefit of celebrity status, Silicon Valley connections, get passed over for grants / VC money / recognition because they're not connected or privileged in the same way.
Stop believing so much in the vision and hype. Ask for and act on real results more.
Even worse, a recent article indicated they had effectively stopped using their own process for testing and had gone back to using the previous method.
If anything screams scam, that should be a flashing red light.
We will bankrupt ourselves in the vain search for absolute security. -- Dwight D. Eisenhower
Theranos device has integrated testing capability and the capillary tube contains the sample while it is delivered to a desperate testing device, which in all likelihood is a medical device
"Are you so sure? Does it not make some sense that advancements could be made on how much you need to collect?"
On this point, yes, we're pretty sure.
Here's the problem: when there's something bad (bacteria, virus, mutated DNA) in your system, it usually appears in very small copy numbers (copy number is a technical term that tells you how many copies of something you see in a given sample). The relative abundance (another commonly used term that tells you how common your target is compared to everything else in the sample) of the bad stuff (not a technical term) is usually very small compared to the good stuff. So much so, that often times you need a large sample just to get a single copy of a bad thing. In most biological systems, we're talking needle-in-a-haystack small copy numbers for bad things.
Think of it this way: Let's say you have a gallon bucket full of coins with only a few quarters. You randomly sample a cup of coins. Can you confidently say there are no quarters in the bucket? Now say the coins are flowing through a series of tubes (no, these are not bitcoins on the internet) and your sample is determined by the coins present when you siphon off your cup's worth. What would the relative abundance need to be before you can confidently say quarters are present in the system using a cup for sampling? How about using a quart for sampling?
Somewhat like the laws of thermodynamics limit the ability to create perpetual motion machines, relative abundance/copy number place hard limits on the sample sizes needed to detect things in blood with confidence.
-Chris
Single cell sequencing isn't useful as a diagnostic technique for the same reason I outlined above: every cell has a slightly different genome sequence.
When you're sequencing for diagnostics, you need a consensus genome for the tissue or tumor, not the genome for individual cell in the tissue or tumor. That's because not every cell in the tumor will necessarily have the variation that led to the tumors and it's possible for a single tumor cell to be in the healthy tissue. It's only over populations of cells that the negative effects can be measured properly.
If you're measure gene expression instead of DNA variants (e.g., looking for gene fusions), the problem is even worse. Not only do you need to sample many cells, but some of those cells need to be actively expressing the damaged gene to be able to sequencing it.
Disclaimer: I helped develop a single cell sequencing product and currently run a gene sequencing software company. I'm also friends with people at the FDA. I can assure you, they're not protecting profits for anyone and have the best interests of the patients in mind. It might look like bureaucratic overreach at times, but their goal is for only safe products enter the marketplace.
That goes for interpretation, too, which is why 23andMe got smacked down so hard. The science connecting genotypes to phenotypes is not as strong as the popular press would have you believe (there's currently a reproducibility crisis in the whole genome association study (WGAS) community, where most of the disease/gene associations come from). Sure, you can go to pub med and read all the studies, but understanding the body of knowledge to place those studies in context is difficult even for professionals.
-Chris