Published Dec 31, 2023

Alberto Pajuelo  


In recent years, there has been significant advancement in cancer therapy, with the emergence of novel and inventive methods that provide hope to patients. An advanced approach is adoptive cell transfer, which utilizes the immune system’s potential by modifying T cells to identify and eliminate cancer cells. The implementation of this individualized method has demonstrated encouraging effects across different cancer types, resulting in enhanced prognoses for numerous individuals. Metabolic therapy has emerged as a possible treatment technique, alongside adoptive cell transfer. This therapeutic method seeks to interrupt the growth and survival of cancer cells by specifically targeting their abnormal metabolism. Moreover, artificial intelligence (AI) is transforming cancer care by assisting in the identification of diseases, forecasting the likely course of illness, and devising treatment strategies. Artificial intelligence algorithms employ extensive data analysis to identify patterns and anomalies that may not be readily apparent to human specialists in isolation. Oncologists can enhance patient outcomes and reduce unwanted effects by integrating adoptive cell transfer, metabolic therapy, and AI technologies to provide personalized treatments.



Cancer, Adoptive Cell Transfer, Metabolic Therapy, Artificial Intelligence, Outcomes

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How to Cite
Pajuelo, A. (2023). A Perspective Review of Cancer Therapy (Part II): Adoptive Cell Transfer, Metabolic Therapy, and Artificial Intelligence. Science Insights, 43(6), 1167–1177. https://doi.org/10.15354/si.23.re838