生物科技呈指數(shù)增長(zhǎng)

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)

In 2015, a biotech conference entitled [_Opportunities and Risks in Exponential Growth of Biotech Science_](https://www.cser.ac.uk/events/the- future-of-biotech-enterprise/ "https://www.cser.ac.uk/events/the-future-of- biotech-enterprise/") __ was held at the University of Cambridge. At the conference, subject matter experts examined how bioscience technologies have the power to build or destroy our world and discussed how to leverage entrepreneurial opportunities while avoiding catastrophic risk. The speakers at the conference, Professor of Chemical Engineering and Biotechnology Cris Law, Professor of Infectious Disease Informatics Derek Smith, and founder of Deep Knowledge Ventures Dmitry Kaminskiy, reached two major conclusions. They concluded that basic forms of AI and data science should be used to optimize the management of preventive medicine, and strong AI should be applied for the development of new vaccines. They cautioned that significant attention should be focused on preventing mistakes where viruses could spread from laboratories, and preventing advanced biohazardous technologies from reaching the hands of terrorists.

2015年，一個(gè)名為生物技術(shù)科學(xué)迅猛增長(zhǎng)的機(jī)會(huì)和風(fēng)險(xiǎn)的生物科技會(huì)議在劍橋大學(xué)舉行。一些生物科技領(lǐng)域的專家在會(huì)上就生物科技對(duì)于建設(shè)或摧毀我們世界的威力進(jìn)行了探討，他們還討論了如何利用創(chuàng)業(yè)機(jī)會(huì)而同時(shí)避免災(zāi)難性風(fēng)險(xiǎn)等問題?；瘜W(xué)工程與生物科技學(xué)院的Cris Law教授、傳染病信息學(xué)教授Derek Smith以及Deep Knowledge Ventures 創(chuàng)始人Dmitry Kaminskiy三位是會(huì)議的演講者。他們得出了兩個(gè)主要結(jié)論。他們的結(jié)論是，基礎(chǔ)AI和數(shù)據(jù)科學(xué)應(yīng)該用于優(yōu)化預(yù)防醫(yī)學(xué)的管理，而強(qiáng)勢(shì)AI則應(yīng)該用于新疫苗的開發(fā)。他們還提出警告，一定要特別注意防止病毒可能從實(shí)驗(yàn)室傳播出來的失誤以及要防止先進(jìn)的生物危害技術(shù)落入恐怖分子之手。

[](https://www.cser.ac.uk/events/the- future-of-biotech-enterprise/)

Centre for the Study of Existential Risk University of Cambridge



生存風(fēng)險(xiǎn)研究中心（劍橋大學(xué)）

In a pandemic, as the number of people infected with the virus increases, the rate of growth also increases. Technology and pandemics are both evolving exponentially, but sources of mega-pandemics from viruses and microbes are evolving at a double exponential rate. This includes natural viruses but could potentially include weaponized viruses. An example of a weaponized virus would be influenza HIV embedded in mosquitoes, used in biological warfare. AI could help neutralize this disproportion and allow biopharma to catch up to the rate of pandemic evolution. Current technology can be applied to decrease the threat of pandemics. Even without next-generation AI systems progress can be made.

傳染病大流行時(shí)，感染病毒的人數(shù)增加，因而增長(zhǎng)速度也隨之增加?？萍己蛡魅静〈罅餍卸汲手笖?shù)發(fā)展，而病毒和微生物的流行源頭卻是以雙倍指數(shù)發(fā)展。這些包括了自然病毒，但也可能包括用于武器化病毒。武器化病毒的一個(gè)例子是將流感 HIV病毒內(nèi)置于蚊子，用于生物戰(zhàn)。人工智能可以幫助消除這一不平衡關(guān)系，使生物制藥商可以趕上大流行的發(fā)展速度。目前的技術(shù)已經(jīng)可以減少大流行的威脅，即便不利用新一代AI系統(tǒng)都能取得好的進(jìn)步。

The Canadian military is preparing for multiple waves of COVID19 over the next 12 months 加拿大軍方正在為未來12個(gè)月內(nèi)可能多次出現(xiàn)的COVID19高峰做準(zhǔn)備。加拿大武裝部隊(duì)喬納森萬斯將軍

General Jonathan Vance, Canadian Armed Forces

**Personalized Targeted Immunization**