Ahuja Abhimanyu S, Reddy Vineet Pasam, Marques Oge
Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA.
Wilkes Honors College, Florida Atlantic University, Jupiter, Florida, USA.
Integr Med Res. 2020 Sep;9(3):100434. doi: 10.1016/j.imr.2020.100434. Epub 2020 May 27.
The COVID-19 pandemic is taking a colossal toll in human suffering and lives. A significant amount of new scientific research and data sharing is underway due to the pandemic which is still rapidly spreading. There is now a growing amount of coronavirus related datasets as well as published papers that must be leveraged along with artificial intelligence (AI) to fight this pandemic by driving news approaches to drug discovery, vaccine development, and public awareness. AI can be used to mine this avalanche of new data and papers to extract new insights by cross-referencing papers and searching for patterns that AI algorithms could help discover new possible treatments or help in vaccine development. Drug discovery is not a trivial task and AI technologies like deep learning can help accelerate this process by helping predict which existing drugs, or brand-new drug-like molecules could treat COVID-19. AI techniques can also help disseminate vital information across the globe and reduce the spread of false information about COVID-19. The positive power and potential of AI must be harnessed in the fight to slow the spread of COVID-19 in order to save lives and limit the economic havoc due to this horrific disease.
新冠疫情正在给人类带来巨大的痛苦和生命损失。由于疫情仍在迅速蔓延，大量新的科学研究和数据共享正在进行。现在，与冠状病毒相关的数据集以及已发表的论文越来越多，必须借助人工智能（AI），通过推动药物研发、疫苗开发和公众认知的新方法来抗击这一疫情。人工智能可用于挖掘这大量的新数据和论文，通过交叉引用论文和寻找模式来提取新的见解，人工智能算法有助于发现新的可能治疗方法或助力疫苗开发。药物研发并非易事，深度学习等人工智能技术可以通过帮助预测哪些现有药物或全新的类药物分子可以治疗新冠，来加速这一过程。人工智能技术还可以帮助在全球传播重要信息，并减少有关新冠的虚假信息传播。在抗击新冠疫情传播的斗争中，必须利用人工智能的积极力量和潜力，以拯救生命并限制这种可怕疾病造成的经济破坏。
