Breastfeeding, HAMLET and AI: Exploring Synergies for Breast Cancer Prevention in Future Prospect

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.

Authors

Institutions

Publication Details

Journal
Annals of Computer Science and Information Systems
Published
2025-05-19
DOI
https://doi.org/10.15439/2024r103
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Breastfeeding, HAMLET and AI: Exploring Synergies for Breast Cancer Prevention in Future Prospect

Vasundhara Kulshreshtha, Harish Vyas, Indaram Sri Charitha
Annals of Computer Science and Information Systems
Mobile Health and mHealth Applications
article

Breastfeeding, HAMLET and AI: Exploring Synergies for Breast Cancer Prevention in Future Prospect

Vasundhara Kulshreshtha, Harish Vyas, Indaram Sri Charitha
article en

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.

Annals of Computer Science and Information SystemsVol. 42
Stanley Medical College (IN)
Openalex Percentile: Top 78%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.