samirunni
Joined 14 years ago
Joined 14 years ago
A new regulation was actually proposed by the federal government a year ago to do that: https://www.cms.gov/priorities/key-initiatives/burden-reduct...
There’s also a new program to reduce fragmentation for dementia care in particular: https://www.cms.gov/priorities/innovation/innovation-models/...
Solving the sorts of problems highlighted in the article (from 2017) is well-recognized, by elected officials in 2023, as a priority of their constituents.
However, neither of the initiatives linked above will systematically address the underlying issues, which are:
1. Conflicting and overlapping objectives between federal, state and local governments, as well as between the different branches of government.
2. Partially privatized administration of government programs, such as Medicare. This inevitably results in further conflicts of objectives, and incentivizes gaming the system.
3. The only real way for the government to learn from failure, and adapt to it, is by creating a mountain of new regulations, which just makes everything more expensive / take longer.
4. Extreme caution, in regulated industries, around sharing information with external parties, due to liability concerns. This drives further consolidation.
Can you explain this idea in more detail? Many CROs are already establishing preferred-provider relationships with investigators.
Doing experiments on animals (and especially humans or other vertebrates) is the exact opposite of something you can just go ahead and do. The best way to see that is to give it a go yourself.
> At the very least, we could just reverse engineer biology.
Many people in the past with a CS/physics mindset have made similar claims. If you try to work with living systems, I'm sure you'll see why these problems aren't just a matter of spending R&D dollars.
If they are so "easily approachable," feel free to solve them any time. I think you'll find that solving problems in living systems (let alone in the clinic) is much more challenging than it might appear from a CS/physics perspective (https://www.quora.com/What-is-the-Andy-Grove-fallacy?share=1).
I'm not saying it's not worth trying (it's certainly a more worthwhile endeavor than getting people to click on more ads), but that it's important to be realistic (for example, that all disease is unlikely to be cured by 2100).
Summary
1. Lack of rigidity, excessive stickiness of molecules (Van der Waals force), constant random interactions (Brownian motion) at the microscale of cells means mechanistic intuitions from the macroscale don't apply.
2. High surface area (combined with VdW force) causes problems related to friction and energy dissipation.
Check out PubPeer: https://pubpeer.com/
Having had experience with syn bio in grad school and trying to reconcile the empirical (biology) and first principles (CS/math) approaches, I've been thinking a lot lately about how to streamline the troubleshooting process for picking up and optimizing wet lab methods. I'd love to chat - my email's in my profile.