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人工智能与不断演变的超级复杂肿瘤智能:批判性观点

Artificial intelligence vs. evolving super-complex tumor intelligence: critical viewpoints.

作者信息

Sharma Nilesh Kumar, Sarode Sachin C

机构信息

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.

出版信息

Front Artif Intell. 2023 Jul 24;6:1220744. doi: 10.3389/frai.2023.1220744. eCollection 2023.

Abstract

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.

摘要

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。

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本文引用的文献

1
Impact of risk factors on early cancer evolution.危险因素对早期癌症演变的影响。
Cell. 2023 Apr 13;186(8):1541-1563. doi: 10.1016/j.cell.2023.03.013.
2
Critical transition and reversion of tumorigenesis.肿瘤发生的关键转变和逆转。
Exp Mol Med. 2023 Apr;55(4):692-705. doi: 10.1038/s12276-023-00969-3. Epub 2023 Apr 3.
3
The role of physics in multiomics and cancer evolution.物理学在多组学和癌症演变中的作用。
Front Oncol. 2023 Mar 17;13:1068053. doi: 10.3389/fonc.2023.1068053. eCollection 2023.
5
Use of artificial intelligence to enhance detection of nodal metastases.
Lancet Oncol. 2023 Apr;24(4):308-309. doi: 10.1016/S1470-2045(23)00101-8.
6
An oncospace for human cancers.人类癌症的 oncospace。
Bioessays. 2023 May;45(5):e2200215. doi: 10.1002/bies.202200215. Epub 2023 Mar 2.
9
A critical appraisal on cancer prognosis and artificial intelligence.
Future Oncol. 2022 Apr;18(13):1531-1534. doi: 10.2217/fon-2021-1528. Epub 2022 Feb 9.
10
Evolution of metastasis: new tools and insights.转移的进化:新工具和新见解。
Trends Cancer. 2022 Feb;8(2):98-109. doi: 10.1016/j.trecan.2021.11.002. Epub 2021 Dec 3.

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