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Journal article Open Access Scopus Source The journal / series is indexed in Scopus (SCImago list). The article itself has not been verified. 5 Citations Quartil Q2

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

Sharma, Nilesh Kumar , Sarode, Sachin C.
ISLA — Instituto Politécnico de Gestão e Tecnologia
Frontiers in Artificial Intelligence, 2023

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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.

Keywords

#Artificial Intelligence #tumor evolution #tumor heterogeneity #cancer management #AI evolution #Viewpoints #Computer science #human intelligence

Bibliographic Details

Publication Type Journal article
Publication Year 2023
Journal / Conference / Work Frontiers in Artificial Intelligence
Quartile (SCImago) Q2
Scopus Indexing Indexed source (via SCImago)

ISLA Authors & Affiliations

J
Jorge Manuel Pereira Duque
jorge.duque@islagaia.pt ID: FD15-6377-8559
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