Proceedings of the 2024 Ninth International Conference on Research in Intelligent Computing in Engineering

DOI: http://dx.doi.org/10.15439/2024R103

Citation: Proceedings of the 2024 Ninth International Conference on Research in Intelligent Computing in Engineering, Vijender Kumar Solanki, Tran Duc Tan, Pradeep Kumar, Manuel Cardona (eds). ACSIS, Vol. 42, pages 163–166 (2024)

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Abstract. In this study, we analyze the association between breastfeeding practices, the bioactive compound HAMLET (Human Alpha-lactalbumin Made Lethal to Tumor Cells), and the potential mitigation of breast cancer risk. The primary risk factors for breast cancer are a woman's age and family history, particularly the presence of a first-degree relative with breast cancer. Women who have a history of Breastfeeding have demonstrated reduced incidence rates of breast cancer. A key component of human milk, alpha-lactalbumin, forms a complex with oleic acid and selectively induces apoptosis in tumour cells while sparing normal cells. This unique property positions HAMLET as a promising agent for cancer prevention. This paper also examines the potential of artificial intelligence to build predictive models on the risk of future breast cancer in relation to extensive maternal health data and breastfeeding practices. Even though HAMLET has yet to enter the clinic, its distinct properties make it a good preventative drug against the risk of developing breast cancer. This research emphasizes the integration of HAMLET into future research frameworks and AI-based solutions for the advancement of personalized strategies for breast cancer prevention.

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