Science - First Year Students Library Support: Language for Science

How to reference:
Bhinder, B., Gilvary, C., Madhukar, N. S., & Elemento, O. (2021). Artificial Intelligence in Cancer Research and Precision Medicine. Cancer Discovery, 11(4):900-915. https://doi.org/10.1158/2159-8290.cd-21-0090

AI Insights:
Adoptive cell transfer (ACT) is an innovative cancer therapy that modifies a patient's own immune cells, particularly T cells, to identify and eliminate cancer cells. This personalized approach has shown remarkable efficacy in treating certain cancers like leukemia and melanoma.

Metabolic therapy aims to disrupt the abnormal metabolism of cancer cells, which heavily rely on glucose fermentation (the Warburg effect) for energy, by targeting specific metabolic pathways and enzymes crucial for cancer cell survival.

Artificial intelligence (AI) is transforming cancer care by enabling precise diagnosis, predicting treatment outcomes, optimizing drug delivery, and developing personalized treatment plans based on patients' genetic profiles and other data.

The integration of ACT, metabolic therapy, and AI holds significant promise for more effective and targeted cancer treatments with fewer side effects, underscoring the potential of synergistic approaches in combating this devastating disease.

How to Reference:
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

How to Reference:

Derraz, B., Breda, G., Kaempf, C., Baenke, F., Cotte, F., Reiche, K., Köhl, U., Kather, J. N., Eskenazy, D., & Gilbert, S. (2024). New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology. Npj Precision Oncology, 8(1):23. https://doi.org/10.1038/s41698-024-00517-w

For Referencing:

Le, M. H. N., Nguyen, P. K., Nguyen, T. P. T., Nguyen, H. Q., Tam, D. N. H., Huynh, H. H., Huynh, P. K., & Le, N. Q. K. (2025). An in-depth review of AI-powered advancements in cancer drug discovery. Biochimica Et Biophysica Acta (BBA) - Molecular Basis of Disease, 1871(3):167680. https://doi.org/10.1016/j.bbadis.2025.167680