問題: 醫學與健康

情報機構推動公益性質醫學研究

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將值得信賴的情報機構作爲值得信賴的合作伙伴,根據私人健康史和基因數據進行健康研究。

YAML 想法

醫學研究有一個難題————基因和詳細數據不可避免地具有個人身份,所以,很難將之共享與計算(同態加密可能會解決這個問題,但我現在還不知道具體如何解決)。

但是,社會可以從個人病史和基因數據中獲益。

所以,若對健康保險或其他客戶那裏獲利並不感興趣,情報機構作爲相當中立的一方,實際上可以是合法地被允許使用這種私人和個人數據進行研究的。

另外,公司非法獲取此類數據的例子是存在的,例如,鏈接

Mindey,


(別通知) (可選) 請,登錄

當然,會有評論說,人們應該在使用OAuth的情況下必須同意他們的數據,或者在獲得許可的情況下使用加密技術和tokenomic分散式計算。我當然知道這些方法,如果醫院以這些標準方式管理其數據,那就太好了。但是,人們確實同意人們通過授予政府權利來換取社會價值,因爲這樣做要比逐案徵求同意更有效。

這個想法提出的是,這樣的醫學研究就是這樣的情況之一,因爲衰老和死亡是我們所有人的共同敵人-我們可以通過默認情況下系統和大規模地合作來迅速發現最佳治療策略的模式。也許應該估計這種風險,因爲爲獲得治療的疾病而額外損失一些隱私會增加成本,從而使人們的壽命更長壽。

Of course, there will be comments saying, that people should have to consent to their data, using OAuth, or cryptography and tokenomic decentralized computing with permissioning. I'm of course aware of these methods, and it would be great if hospitals managed their data in those standard ways. However, there are certain consents that people do through giving rights to governments in exchange for social value, because it's more efficient than asking for consents on a case-by-case basis.

What this idea is proposing, is that such medical research is one of such cases, because aging and death is the common enemy of us all -- we could quickly discover patterns of and best treatment strategies by systematically and massively cooperating for this by default. The risk perhaps should be estimated as the cost of extra loss of some privacy to the gain in treated diseases and life years of people survived longer as a result.