Difference between revisions of "Talk:Open Source Medicine"

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This article needs more pictures!
 
 
== Preventive medicine/ Public health ==
 
Medicine is not just about diagnosis and treatment – what about compliance and prevention? How does a culture make people eat more healthily, for example?<br>
 
We sorta have the answers to Alzheimer's (meditation and turmeric), cancer (anti-angiogenic foods, garlic, turmeric), osteoporosis (weightbearing exercise, calcium and vitamin D), cardiovascular disease ([http://www.medicinenet.com/omega-3_fatty_acids/page2.htm omega-3], avoiding saturated fat, exercise), type-II diabetes (exercise, avoiding sugar), lung cancer (the obvious) and other degenerative diseases.
 
 
[http://www.ncbi.nlm.nih.gov/pubmed/15010446 "Modifiable behavioral risk factors are leading causes of mortality in the United States."] <br>[http://www.ncbi.nlm.nih.gov/pubmed/8411605 "Approximately half of all deaths that occurred in 1990 could be attributed to the (lifestyle) factors identified."]
 
 
Healthcare could be massively unburdened by a change in attitude, by people taking more responsibility. But people don't. A world where people eat a lot of fruit and vegetables, exercise two hours a week and meditate would be a world with maybe a quarter as much degenerative disease. I do not currently have any particular suggestions on how this might be achieved.--[[User:Balatro|Balatro]] 23:22, 30 June 2010 (CEST)
 
 
Schools can give information, though I don't think there's any real evidence that telling someone to eat healthily at school means they'll eat healthily. Changing the public food environment (by doing the stuff discussed at the [[Food]] page) is a massive one too. Technology that give people metrics on their lifestyle (like Phillips DirectLife) is definitely useful.--[[User:Balatro|Balatro]] 23:22, 30 June 2010 (CEST)
 
 
 
== Interesting links ==
 
== Interesting links ==
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* http://www.nytimes.com/2010/08/13/health/research/13alzheimer.html?_r=1
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*http://www.openclinical.org/
  
* http://www.nytimes.com/2010/08/13/health/research/13alzheimer.html?_r=1
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===Proteomics===
* http://www.youtube.com/watch?v=pqTkuaAykBw - Taking the results of a bunch of high-resolution body-scans and putting them together to create an accurate 3D model of the body
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*http://www.ted.com/talks/david_agus_a_new_strategy_in_the_war_on_cancer.html
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*http://www.ted.com/talks/danny_hillis_two_frontiers_of_cancer_treatment.html
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===Regenerative medicine===
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*http://www.youtube.com/watch?v=tijEl8I38mo&feature=related
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===Imaging===
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*http://www.youtube.com/watch?v=pqTkuaAykBw
  
 
==Open Medical AI==
 
==Open Medical AI==
 
*Communicates with patient in natural language
 
*Communicates with patient in natural language
*Turns every patient into a data point - bridges gap between clinical and research
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*Turns every patient into a data point - bridges gap between clinic and research
 
*Accesses medical journals (with Natural Language Processing)
 
*Accesses medical journals (with Natural Language Processing)
 
*Interprets scans (with machine vision)
 
*Interprets scans (with machine vision)
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http://www.kurzweilai.net/ibm-to-collaborate-with-nuance-to-apply-watson-analytics-technology-to-healthcare
 
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.
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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 [http://www.xprize.org/press-release/x-prize-foundation-and-qualcomm-join-forces-develop-competition-enhance-integrated-digital X-Prize] with a $10 million purse to stimulate medical A.I, but this will lead away from open-source.

Revision as of 00:50, 17 June 2011

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.