The role of AI in the diagnostic and treatment of the most common cancers with epigenetic roots: surveying its effectiveness in Iranian patients
Afagh bapirzadeh,1,*Reyhaneh ghelejloo,2
1. Islamic Azad University,North Tehran branch ,Heravy Sq.,South makran St.,P.O.BOX:1651153311 2. Islamic Azad University, Shahre-Qods branch,Kalhor Blv.,Fatah highway,Shahr Qods,Tehran,Iran
Introduction: Epigenetic studies have shown that reversible changes in gene expression occur without any
changes in DNA sequence, this phenomenon plays a key role in the formation of some diseases
such as cancers.
Methods: This study has strong evidence indicating the importance of pattern recognition of epigenetic
factors involved in triggering the cells to become cancerous in vivo and the possibility of using AI
to foresee the fate of these cells. Articles from 2000 to 2025 on epigenetic effects in cancer
formation and progression were thoroughly reviewed. The data is categorized based on artificial
intelligence power to reduce the time of diagnosis and selection of the best possible treatments for
patients and in comparison to the routine process of diagnosis which is currently used in cancer
treatment centers.As previously established, epigenetic changes such as abnormal DNA methylation, improper
regulation of gene expression, etc., play a key role in the occurrence and reoccurrence of some
well-known malignancies in patients. The best way to recognize these changes is by using AI in
both pre-cancerous and cancerous stages in patients with a medical history or predisposition to a
specific type of cancer.
Results: Although the process of diagnosis and the initiation of treatment in Iran is still according to
traditional methods but AI and its immense medical achievements will be extremely welcomed by
experts and the government. Reducing additional costs of the health organizations, lower health
care staff, and patient satisfaction due to effective treatments are some underlying reasons.
Conclusion: The results indicate that with the help of artificial intelligence (AI), in identifying abnormal
patterns of cell proliferation, drastic epigenetic changes in the cells, biomarker-related diagnosis
approaches, and proposing new strategies for targeted therapy in cancer studies, there is a bright
future for cancer prevention in the first place and effective treatments due to early diagnosis after
all.