個(gè)性化靶向免疫

時(shí)間：2022-04-22 13:45:01 | 來源：行業(yè)動(dòng)態(tài)

時(shí)間：2022-04-22 13:45:01 來源：行業(yè)動(dòng)態(tài)

There are several approaches that can be taken with currently available technology. One approach is to apply data science techniques to personalized vaccination on a massive scale. Another is to optimize immunization management using AI. By using AI, big data, and small data techniques together, vaccines could be distributed on a massive scale in a more sophisticated and precise way. This could be accomplished by using AI to analyze personal data, such as genetics, to predict an individuals risk and potential sensitivity to specific vaccines. Then, AI could be applied to design personalized sets of vaccines optimized for each individual. **** AI based individual profiling for optimization of immunization management could be applied now. The required technology is available. AI could be used to analyze personal data such as ethnicity, age, gender, blood type, weight, BMI, frailty, and pre-existing conditions that may put an individual at increased risk to certain viruses. Once profiled, people could receive recommendations for vaccines against specific viruses based on their vulnerability.

目前可用的技術(shù)可以采用幾種方法。一種方法是將數(shù)據(jù)科學(xué)技術(shù)應(yīng)用于規(guī)模性的個(gè)性化疫苗接種。另一個(gè)方法是利用AI優(yōu)化免疫的管理。將AI、大數(shù)據(jù)和小數(shù)據(jù)技術(shù)結(jié)合在一起，疫苗的分發(fā)就能夠規(guī)模性地以更精致準(zhǔn)確的方式進(jìn)行。實(shí)現(xiàn)上可以是通過AI分析一些諸如遺傳學(xué)之類的個(gè)人數(shù)據(jù)，預(yù)測每個(gè)個(gè)體對特定疫苗的風(fēng)險(xiǎn)和潛在敏感性。然后再利用AI設(shè)計(jì)出針對每個(gè)個(gè)體的經(jīng)優(yōu)化過的個(gè)性化疫苗。到這里就可以利用基于AI的個(gè)人概況優(yōu)化免疫管理。所需的技術(shù)已經(jīng)存在。AI可以用于分析個(gè)人數(shù)據(jù)，例如種族、年齡、性別、血型、體重、BMI、虛弱程度以及一些可能令個(gè)體面臨某些病毒風(fēng)險(xiǎn)增加的歷史狀況。在獲取了個(gè)體概況后，一些人由于自身存在某個(gè)脆弱性就可以收到針對特定病毒的疫苗建議。

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