生物科技呈指数增长

时间：2022-04-22 13:45:01 | 来源：行业动态

时间：2022-04-22 13:45:01 来源：行业动态

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，一个名为生物技术科学迅猛增长的机会和风险的生物科技会议在剑桥大学举行。一些生物科技领域的专家在会上就生物科技对于建设或摧毁我们世界的威力进行了探讨，他们还讨论了如何利用创业机会而同时避免灾难性风险等问题。化学工程与生物科技学院的Cris Law教授、传染病信息学教授Derek Smith以及Deep Knowledge Ventures 创始人Dmitry Kaminskiy三位是会议的演讲者。他们得出了两个主要结论。他们的结论是，基础AI和数据科学应该用于优化预防医学的管理，而强势AI则应该用于新疫苗的开发。他们还提出警告，一定要特别注意防止病毒可能从实验室传播出来的失误以及要防止先进的生物危害技术落入恐怖分子之手。

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

Centre for the Study of Existential Risk University of Cambridge



生存风险研究中心（剑桥大学）

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.

传染病大流行时，感染病毒的人数增加，因而增长速度也随之增加。科技和传染病大流行都呈指数发展，而病毒和微生物的流行源头却是以双倍指数发展。这些包括了自然病毒，但也可能包括用于武器化病毒。武器化病毒的一个例子是将流感 HIV病毒内置于蚊子，用于生物战。人工智能可以帮助消除这一不平衡关系，使生物制药商可以赶上大流行的发展速度。目前的技术已经可以减少大流行的威胁，即便不利用新一代AI系统都能取得好的进步。

The Canadian military is preparing for multiple waves of COVID19 over the next 12 months 加拿大军方正在为未来12个月内可能多次出现的COVID19高峰做准备。加拿大武装部队乔纳森万斯将军

General Jonathan Vance, Canadian Armed Forces

**Personalized Targeted Immunization**