Sharma Nilesh Kumar, Sarode Sachin C
Cancer and Translational Research Lab, Dr. D.Y. Patil Biotechnology & Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Pimpri, Pune, Maharashtra, India.
Department of Oral Pathology and Microbiology, Dr. D. Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pimpri, Pune, Maharashtra, India.
Front Artif Intell. 2023 Jul 24;6:1220744. doi: 10.3389/frai.2023.1220744. eCollection 2023.
Recent developments in various domains have led to a growing interest in the potential of artificial intelligence to enhance our lives and environments. In particular, the application of artificial intelligence in the management of complex human diseases, such as cancer, has garnered significant attention. The evolution of artificial intelligence is thought to be influenced by multiple factors, including human intervention and environmental factors. Similarly, tumors, being heterogeneous and complex diseases, continue to evolve due to changes in the physical, chemical, and biological environment. Additionally, the concept of cellular intelligence within biological systems has been recognized as a potential attribute of biological entities. Therefore, it is plausible that the tumor intelligence present in cancer cells of affected individuals could undergo super-evolution due to changes in the pro-tumor environment. Thus, a comparative analysis of the evolution of artificial intelligence and super-complex tumor intelligence could yield valuable insights to develop better artificial intelligence-based tools for cancer management.
各个领域的最新发展引发了人们对人工智能改善生活和环境潜力的日益浓厚兴趣。特别是,人工智能在癌症等复杂人类疾病管理中的应用已引起广泛关注。人工智能的发展被认为受到多种因素影响,包括人为干预和环境因素。同样,肿瘤作为异质性和复杂性疾病,会因物理、化学和生物环境的变化而持续演变。此外,生物系统中的细胞智能概念已被视为生物实体的潜在属性。因此,受影响个体癌细胞中存在的肿瘤智能有可能因促肿瘤环境的变化而经历超级进化。所以,对人工智能和超级复杂肿瘤智能的进化进行比较分析,可能会为开发更好的基于人工智能的癌症管理工具提供有价值的见解。