International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Early Screening of Breast Cancer of Breast Cancer using an Iot Enabled Multisensor Wearble Patch

Author(s) Mr. Amit Kumar Singh
Country India
Abstract Early detection of breast cancer significantly improves survival rates; however, existing screening modalities such as mammography are limited by radiation exposure, discomfort, reduced sensitivity in dense breasts, and poor accessibility in low‑resource settings. This paper proposes a novel, non‑invasive, radiation‑free IoT‑enabled wearable patch integrated with thermal sensors and complementary biosensors to enable early breast cancer screening through continuous physiological monitoring. The patch wirelessly connects to a smartphone and cloud platform, where artificial intelligence (AI) models analyze longitudinal data to identify abnormal thermal asymmetry, vascular heat dispersion, and biosignal patterns indicative of tumor‑associated angiogenesis and metabolic activity. The proposed system acts as a first‑line screening and triage tool, enabling frequent, home‑based monitoring and timely referral for diagnostic imaging. System architecture, sensing methodology, AI pipeline, and potential clinical impact are presented, demonstrating the feasibility of scalable, personalized breast cancer screening using wearable technology.
Keywords Breast cancer screening, wearable patch, thermal sensor, IoT healthcare, AI diagnostics, early detection
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-15
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.63641
Short DOI https://doi.org/hbf9xd
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E-ISSN 2582-2160
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