Earlier quoted context omitted.
Wait, are we back to talking about how to organize programming teams again?
Well, you do hear humanity likened to a cancer fairly often. Look at what we do to other species, and we're even trying to metastasize to other planets. Lucky for us that this universe doesn't go in for it's millennial checkups, huh?
Every Cancer Patient Is One in a Billion
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Re: Every Cancer Patient Is One in a Billion
#12Yep, if we really want to cure cancer, we need to go back into the tissue archives and study every single cancer that's ever been diagnosed, at the molecular level, to start getting our heads around what really happened to all those people. 10 million people a year. Every year. For a the last 6-7 decades of chemotherapy. Meanwhile, there's this perverse medicolegal incentive to retain the excised tissue samples for t…
Re: Every Cancer Patient Is One in a Billion
#13Yep, if we really want to cure cancer, we need to go back into the tissue archives and study every single cancer that's ever been diagnosed, at the molecular level, to start getting our heads around what really happened to all those people. 10 million people a year. Every year. For a the last 6-7 decades of chemotherapy. Meanwhile, there's this perverse medicolegal incentive to retain the excised tissue samples for t…
Re: Every Cancer Patient Is One in a Billion
#14Yep, if we really want to cure cancer, we need to go back into the tissue archives and study every single cancer that's ever been diagnosed, at the molecular level, to start getting our heads around what really happened to all those people. 10 million people a year. Every year. For a the last 6-7 decades of chemotherapy. Meanwhile, there's this perverse medicolegal incentive to retain the excised tissue samples for t…
What would be the value in finding a cure for cancer for a patient who is already dead if that patients particular mutation is unlikely to be found in another person?
Re: Every Cancer Patient Is One in a Billion
#15Yep, if we really want to cure cancer, we need to go back into the tissue archives and study every single cancer that's ever been diagnosed, at the molecular level, to start getting our heads around what really happened to all those people. 10 million people a year. Every year. For a the last 6-7 decades of chemotherapy. Meanwhile, there's this perverse medicolegal incentive to retain the excised tissue samples for t…
hmm...does this happen in other countries?
Re: Every Cancer Patient Is One in a Billion
#16The book "Tripping over the truth" is a great history of the failure of the genetic mutation theory of cancer to cure cancer. It argues that it's a dead end and we should go back to exploring Otto Warburg's metabolic theories.
The original technical book "Cancer as a Metabolic Disease" by Thomas N. Seyfried and published by Wiley seems pretty accessible to me.
I'm not advocating for or against the theory. It seems though a lot of time and money has been invested into the genetic mutation approach, without the expected returns in actual health outcomes, so that there is least a case to answer.
Re: Every Cancer Patient Is One in a Billion
#17They were right about the problem of not having individualized medicine, way off with the solution. Now they can win with data
Re: Every Cancer Patient Is One in a Billion
#18https://www.basicknowledge101.com/subjects/verticalfarming.h...
Re: Every Cancer Patient Is One in a Billion
#19Re: Every Cancer Patient Is One in a Billion
#20Would open sourcing all cancer research and allowing anyone to contribute and share in the open source community... would that assist in potentially finding a cure/treatment for various cancers or would the profit motive be required for these research to be successful?
Protein folding and grid computing networks are based on altruism and enthusiast novelty interest “wow I can use my spare computational power on this global network of other enthusiasts to cure cancer”, you know, novel in 2004.
As soon as some enthusiasts introduced cryptocurrency to these networks, see Curecoin and Gridcoin, users of those quickly became the most significant contributors to those networks (until those particular crypto currencies’ economic models fell apart). It wasn’t “spare computational resources” it was capital investment for a yield in those digital assets. I believe there are communities still experimenting with this regarding protein folding and looking for mutations iteratively.
So a profit motive will always beat out a non-market based approach, which isn’t really news