Difference between revisions of "Talk:Open Source Medicine"

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==The biggest killers==
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Cancer, cardiovascular disease and stroke are already dealt with in the article. It would be nice to get some mention of these:
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*'''AIDS''' - Microfluidic tests have been developed; deploy these so that everyone knows their HIV status and that will take a good bite out of the rate of transmission. Education is probably the real answer, at least until a cure or vaccine is found.
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*'''Malaria''' - One of the most interesting ways to control malaria, and certainly the cheapest, is with permaculture. A bat-house will control mosquitos<sup>[http://www.batcon.org/index.php/media-and-info/bats-archives.html?task=viewArticle&magArticleID=397]</sup>, planting plants rich in citronella oil around human habitations will repel mosquitos and growing the ''Polyporus umbellatus'' mushroom is effective against the parasite itself.
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== Interesting links ==
 
== Interesting links ==
 
* http://www.nytimes.com/2010/08/13/health/research/13alzheimer.html?_r=1
 
* http://www.nytimes.com/2010/08/13/health/research/13alzheimer.html?_r=1

Revision as of 10:17, 18 June 2011

The biggest killers

Cancer, cardiovascular disease and stroke are already dealt with in the article. It would be nice to get some mention of these:

  • AIDS - Microfluidic tests have been developed; deploy these so that everyone knows their HIV status and that will take a good bite out of the rate of transmission. Education is probably the real answer, at least until a cure or vaccine is found.
  • Malaria - One of the most interesting ways to control malaria, and certainly the cheapest, is with permaculture. A bat-house will control mosquitos[1], planting plants rich in citronella oil around human habitations will repel mosquitos and growing the Polyporus umbellatus mushroom is effective against the parasite itself.

Interesting links

Proteomics

Regenerative medicine

Imaging

Open Medical AI

  • Communicates with patient in natural language
  • Turns every patient into a data point - bridges gap between clinic and research
  • Accesses medical journals (with Natural Language Processing)
  • Interprets scans (with machine vision)
  • Analyzes test results, like proteomics, genomics, blood tests
  • Simulations of biochemistry, proteomics
  • Analyzes small, wireless sensors
  • Makes decisions (with Bayesian logic, expert systems, machine learning)
  • Integrated with an Electronic Medical Record system
  • All this done by cloud computing

http://www.kurzweilai.net/ibm-to-collaborate-with-nuance-to-apply-watson-analytics-technology-to-healthcare

Unfortunately, most of the development in this field is being done by private companies; there is not yet a dynamic open-source project. There was EgaDSS, but it seems to have stalled out. There is an X-Prize with a $10 million purse to stimulate medical A.I, but this will lead away from open-source.