By MATTHEW HOLT
After only maybe 5 years when I’ve been away running a conflicting conference in some other part of the world I finally get to go to Exponential Medicine the next 4 days. I met Daniel Kraft way back before he was famous, and his conference grew from being a week long academic session in an airline hangar in Mountain View to being a mega 4 day bash at the Hotel Del Coronado in San Diego (partly aided by TEDMED abandoning the venue and heading off in its own strange direction post billionaire buyout–well done Mark Hodash despite the lawsuit and yes I am jealous!).
Anyway, it’s going to be lots of fun. There’s plenty of people from my Health 2.0 world presenting. Lonnie Rae Kurlander, ePatient Dave, heck even John Halamka has been tempted off the farm — although I suspect Dave will have him in a headlock about access to his BIDMC data pretty quick).
Then there’s the surgeons and the weirdos. I leave Shafi Ahmed & Stefano Bini to decide which category they’re in, although whatever John Brownstein says I do owe him a nice bottle of scotch. Anyway, check out the program and if you haven’t bought yourself a ticket or bribed your way in, don’t worry it’s all being live streamed and Jessica DaMassa from WTF Health will as ever be interviewing anyone who doesn’t get out of the way quick enough.
So if you’re there I’ll be milling around not doing much, so say hi. And otherwise follow along here and @boltyboy
Categories: Matthew Holt
The principle of using enzymes to diagnose and analyze biological abnormalities is based on the fact that the activity of endogenous enzymes is sensitive to the health condition. Alternatively, enzymes can also be used to detect changes in the substrate concentrations, which could also be indicative of physiological disturbances. For example, using cholesterol oxidase for quantification of cholesterol can reveal potential cardiovascular diseases or high blood pressure.
Souce: https://www.creative-enzymes.com/cate/Enzymes-For-Research-Diagnostic-Use_71.html
Assuming that population health spending, rank ordered by each citizen’s total health spending, represents the characteristics of a Power Law distribution curve, what is known within the engineering realm of knowledge about shifting resources among the various quadrants of the curve? Specifically, are there known strategies to increase funding for the largest quadrant of the curve with the least average use of resources in a way to decrease the smallest quadrant of the curve with the EXPONENTIALLY highest level of resource utilization? OR how can I find an expert regarding Power Law phenomena?