We have investigations into mitochondrial genetics and Alzheimer's. There's still a lot to learn but it's probably safe to assume there's a lot more going on. Treatment and even prevention for most will likely rely on attending to more than just mitochondrial abberations.
Met a kid with this my first pediatric clerkship in med school. I was told it was super rare and then had to memorize a bunch more stuff and forgot all the details about the visit. Always wish I could remember that patient better
I guess increasing awareness on the issue is better than nothing. I've just noticed that she has a gift for identifying problematic industries but struggles to come up with clear criticisms that could translate into pragmatic solutions.
As much as I'd love to see ridiculous parent laws in medicine get under control, I have very little confidence that Lina Kahn would accomplish anything. She doesn't have a great track record. You really need someone with a good background in patent law specifically for pharmaceuticals to take this on
I hadn't heard the latter philosophical term but there are related concepts I'm familiar with. I'm more technically driven than many of the other neuroscientists I work with so I'd imagine they don't all know Granger causality. They actually might be more likely to know Downard causation given some of the philosophical drive behind their current work.
It varies quite widely by location because the income often reflects the number of patients and what source their income is from (Medicare, private insurance, uninsured). The med school debt for family medicine doctors can be quite daunting to pay off
They didn't say the language was the issue. It doesn't support the full C spec. But if you want a reason why language might be an issue for a compiler, it could make compilation time slower. But I think the point of this project is not real world use but fun demonstration of skill
The lab I'm involved in right now started off pleasant but there were definitely a handful of people who were less than pleasant to work with. Our PI has played a big part in picking the right people but we've all been very supportive of each other too. I don't think any one person started it but we all speak well of each other and it's only improved over time even when providing criticism of each other's work. This has been a big deal given our time working with human subject data throughout a pandemic.
At this point I can't think of anyone in my lab I don't like working with.
The other comment basically got it. Ask doctor particularly with family history. All cancers are better treated if caught earlier but some like colorectal cancer have much less severe outcomes if caught early on (eg removing a large segment of colon vs a small polyp)
Utility here depends on what type of practice it is. ED doc on no sleep and only 10 minutes for a patient, maybe. But it would be useless in something like psychiatry
Depends on the situation. If no one cites it then it drifts into obscurity quickly. If it was actually cited frequently it leads to an investigation of work by all authors on the paper along with a retraction.
I've seen some situations where smart people did bad research because of deadlines related to work visas. Science doesn't care how smart you are or if you could end up without a home. It will take as many logical iterations over an experiment design before being fruitful.
I can't speak for other fields but in Neuro there's plenty of this but often one learns how to catch it before using it in your own research, even if it never becomes a matter of public scrutiny. Unfortunately, I can't reassure you that bad research gets caught all the time. However, there's usually at least a couple of experts in a given sub field of Neuro that quickly call BS before something goes too far.
I recall seeing something that built on Cairo and provided something that had basic 3d interaction on top of an iterative 2d render a long time ago. So there are projects that do more direct implementations but I'm not sure if they have stable glue to Make yet. This is the sort of thing I hate dealing with directly so I usually just say, " hey that's interesting" and wait for a stable release
Are these specifically private posts/conversations? It seems like a logical decision for private stuff but if you're dumb enough to set your post settings to public and incriminate yourself then you have no one to blame but yourself.
The first Neuro lab I worked in was funded by the department of defense. Focus was the effects of traumatic brain injury and mechanisms that cause it. It wasnt 2.1 trillion in funding so I can't account for a lot of that I guess
I apologize if what I shared sounded like a "scare quote". I was just responding to the question about whether this will be an available diagnosable drug anytime soon. It is really unlikely and there are some basic intuitive reasons why without going deep into any research.
Also, I didn't say I was unaware of anything in this field recently. I was replying to the specific individuals' research I mentioned earlier. I've seen plenty meta analyses and case studies but you need way more for this to be a viable medical prescription.
Finally, none of what I said is a statement on my opinion about whether this should be adopted or pursued more aggressively in medicine. You'd have a hard time finding anyone that wouldn't agree that prevention would be cheaper in the long run but that's not what you need to prove to a hospital system and the FDA. You need to have multiple phases of clinical trials and then convince a medical system that addition dedicated clinics are worth setting up for this.
TBH Id have to dig into my notes more than I care to now, but recall looking up his and his coauthors research at the time and the verbage was very similar to what you described. But that's kind of the point. Requiring a specific controlled setting with a medical team and someone to guide the individual through throughout the process is a lot of work to require for "good" outcomes.
The only time you can expect a drug will get approval without large reproduction of quantifiable outcomes is treating some aspect of a rare disease.
Beginning of my MD PhD program a guy who was big in that field and tried small scale trials gave a whole schpill about how big pharma was unfairly blocking this. Then I spent over an hour talking to him about it. This field has a huge challenge finding a consistent and reproducible outcome to aim for. When I pressed the guy he was pretty clear that there were participants in these studies that has pretty bad outcomes and would have been in bad shape if there wasnt a medical team on hand.
Im sure we will find a use for this someday but research has to do more than prove it is sometimes good for people. We need to know how to consistently identify those people who need it and the outcome desired.
This sort of feedback is just difficult for people to consume in a mature way. Many get defensive or weaponize it. Language design is hard to critique since it becomes so abstract making most comments superficial. But people in this situation often have some actual knowledge. The other situation is when the language devs actually listen to some of the feedback.
I totally agree with your point here. I was just curious if I understood this issue properly. From other comments it sounds like an issue that may affect everyone despite our best efforts. Like you said, regulation is probably the only way this can be effectively fixed
I'm not saying any of this is alright but can't you just wash this stuff off produce as a consumer? In which case the real health issue is for those interacting with produce before they get to consumers.
I'm not privy to the legit decisions around Teslas tech vs PR that I occasionally run across. Does this mean they are dedicated to only using traditional vision comparable to humans or is that just their focus at the current time? I can appreciate there's only so much tech that can be reliably developed for mass production at a given time but Elon also tends to make some odd choices/statements out of principle.
Is it just more does the title including "teen" make it sound like this is about humans? I don't usually comment on titles but that seems like a big deal to me.
There is a consistent lack of experts in general intelligence and computer science in these conversations. Expertise in both these areas seems important here but has been brushed aside everytime I've brought it up.