Udayana University Faculty of Medicine Students Lead Cross-Faculty Team to Create "Bratayuda," an AI-Based Smart Bra for Early Breast Cancer Detection

• Posted by: Admin
• Senin, 3 November 2025
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Udayana University Faculty of Medicine Students Lead Cross-Faculty Team to Create "Bratayuda," an AI-Based Smart Bra for Early Breast Cancer Detection

A collaborative cross-faculty student team from Udayana University, led by students from the Faculty of Medicine, has successfully developed a breakthrough innovation in health technology. The team created "Bratayuda," a smart bra designed for independent, non-invasive, and accurate early detection and monitoring of breast cancer.

The team consists of I Komang Chandra Yogananda (Bachelor of Medicine, Class of 2022) as the leader, and members Ilham (Mechanical Engineering, Class of 2022), I Komang Gede Jefri Suparjana (Information Technology, Class of 2022), Gabriella Sunsugos Sianturi (Electrical Engineering, Class of 2023), and Assyifa Dewanda Parend (Medical Education, Class of 2024). They are supervised by Prof. Dr. dr. Desak Made Wihandani, M.Kes. (FK).

This innovation successfully secured funding for the 2025 Student Creativity Program for Creative Initiatives (PKM-KC), funded by the Indonesian Ministry of Higher Education, Science, and Technology and Udayana University. For its achievements, this innovation also received an award from the 2025 PKM Award.

This project was born in response to the high number of breast cancer cases and the limitations of conventional detection methods. Bratayuda works using a biometric variation analysis approach. This innovation uses multisensor technology to non-invasively measure three biometric variations: changes in temperature, texture (stiffness), and tissue oxygenation in the breast quadrants. The sensor data is then analyzed by a sophisticated deep learning model using a hybrid CNN-GRU to detect potential cancers and classify them from stage 0 to IV. Clinical validation results showed that Bratayuda achieved a final accuracy of 91.2%, sensitivity of 93%, and specificity of 89%. This accuracy is nearly comparable to imaging, demonstrating Bratayuda's potential as an effective early screening tool.

The team's achievements don't stop at the prototype. The results of this research have been submitted to the Journal of Biomedical Informatics (Scopus Q1) and presented at two international conferences, including the 18th Annual Meeting of the Korean Society of Medical Oncology (KSMO) 2025 in Seoul, Korea. This innovation has also been Copyrighted (EC002025142304) and registered as a Simple Patent (S00202509628). For updates on the project's progress, visit Instagram @bratayuda.id or the website www.bratayuda.id