| Autor: |
Wenqiang Guo, Chenrui Lv, Meng Guo, Qiwei Zhao, Xinyi Yin, Li Zhang |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Science in One Health, Vol 2, Iss , Pp 100045- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2949-7043 |
| DOI: |
10.1016/j.soh.2023.100045 |
| Popis: |
Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to global public health. In recent years, artificial intelligence (AI) has emerged as a transformative tool in the fight against diseases. This comprehensive review discusses the innovative applications of AI in the management of zoonotic diseases, including disease prediction, early diagnosis, drug development, and future prospects. AI-driven predictive models leverage extensive datasets to predict disease outbreaks and transmission patterns, thereby facilitating proactive public health responses. Early diagnosis benefits from AI-powered diagnostic tools that expedite pathogen identification and containment. Furthermore, AI technologies have accelerated drug discovery by identifying potential drug targets and optimizing candidate drugs. This review addresses these advancements, while also examining the promising future of AI in zoonotic disease control. We emphasize the pivotal role of AI in revolutionizing our approach to managing zoonotic diseases and highlight its potential to safeguard the health of both humans and animals on a global scale. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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