Scholarlink

<p>This article explores the role of artificial intelligence (AI) in medicine and biology. Special attention is given to areas of biology such as genomics, proteomics, biotechnology, cell, and synthetic biology. In the field of medicine, the emphasis is on diagnosis, vaccine development, and treatment of various diseases, including COVID-19. The future of AI is explored, including explainable AI and biologically inspired models, as well as the synergy of AI with other advanced technologies, such as robotics and nanotechnology. The limitations and challenges facing AI are also analysed, including ethical and legal aspects, data quality issues, and the need for standardisation. The article emphasises that the potential of AI can both improve the quality of life and accelerate scientific discovery, and increase the occurrence of risks associated with its introduction into the scientific process. It concludes by emphasising the need for responsible use of AI to preserve scientific diversity and innovation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial intelligence in biology and medicine

  • 期刊论文

  • 发表日期：

    2025年10月17日

查看全文
  • Liliya Iskuzhina,
  • Zafarkhuja Turaev,
  • Artem Rozhin,
  • Aleksei Romanov,
  • Ekaterina Skomorokhova,
  • Ilnur Ishmukhametov,
  • Elvira Rozhina

摘要

This article explores the role of artificial intelligence (AI) in medicine and biology. Special attention is given to areas of biology such as genomics, proteomics, biotechnology, cell, and synthetic biology. In the field of medicine, the emphasis is on diagnosis, vaccine development, and treatment of various diseases, including COVID-19. The future of AI is explored, including explainable AI and biologically inspired models, as well as the synergy of AI with other advanced technologies, such as robotics and nanotechnology. The limitations and challenges facing AI are also analysed, including ethical and legal aspects, data quality issues, and the need for standardisation. The article emphasises that the potential of AI can both improve the quality of life and accelerate scientific discovery, and increase the occurrence of risks associated with its introduction into the scientific process. It concludes by emphasising the need for responsible use of AI to preserve scientific diversity and innovation.