graeham
Joined 14 years ago
Joined 14 years ago
I've not been anywhere else that has the density of interesting people doing interesting stuff. London is not far if you need to break the bubble (and Stansted Airport even closer).
Downsides: salaries are generally lower than SV (esp for technical work), Brexit uncertainty, weather is fairly average, limited outdoor sport options (other than running, road cycling, rowing)
I'm not sure when medical care is cheaper in the US. Within the VA system, maybe?
Also, the ranking does not stack up against wikipedia figures:
https://en.wikipedia.org/wiki/List_of_U.S._states_by_GDP_per... https://en.wikipedia.org/wiki/List_of_countries_by_GDP_(PPP)... (Where PPP is already accounted for, so this guy is doing it twice).
UK would come in ~35th. Similar to Nevada or Michigan.
However, while the models are open source they seem to be created for LS-DYNA, which is a fairly expensive program. I'm not aware of any good open source finite element packages, but I bet this will limit uptake of their models.
But unfortunately there isn't anything close to this yet.
High blood pressure, for example, probably more accurate than the retinal image technique here. https://www.ncbi.nlm.nih.gov/pubmed/25632496
The major goal here would be to screen for people to go for a more advanced test, like an MRI. But even that wouldn't hit the 90-95% level of predictor.
-Chest pain
-Artery narrowing
-Heart attack risk
They aren't the same, although there is correlation between each. The original idea behind stents was to stabilise vessels in the process of a heart attack. They are increasingly used in a preventative way - but the problem is there aren't very many or good tools to tell how at risk an individual is to a heart attack.
Another major problem (as the article mentions) is that stents improve the situation in one artery, but most patients that need a stent have atherosclerosis in multiple vessels. This likely explains why the chest pain remains.
I think the key is differentiating between creative work (which is better to be done deep with fewer hours) and grunt work which is almost purely time. Both are needed for a sucessful PhD - few are good at both and it is hard to switch between the two.