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All Journal Research of Scientia Naturalis Journal of Multidisciplinary Sustainability Asean
Benny Novico Zani
Sekolah Tinggi Ilmu Kesehatan Raflesia Depok
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Physics Other

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AI-AUGMENTED SPECTROSCOPY FOR EARLY DETECTION OF CERVICAL CANCER BIOMARKERS Benny Novico Zani; Vicheka Rith; Ravi Dara
Research of Scientia Naturalis Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i4.2387

Abstract

Cervical cancer remains a leading cause of mortality among women worldwide, primarily due to challenges in early and accurate detection. Conventional screening methods like Pap smears are subject to human error and have moderate sensitivity. This study aimed to develop and validate a novel, non-invasive diagnostic platform combining Raman spectroscopy with artificial intelligence (AI) for the rapid and highly accurate detection of early-stage cervical cancer biomarkers. The objective was to create a system that could overcome the limitations of current screening techniques. We collected cervical cell samples from clinically diagnosed healthy, pre-cancerous (CIN I-III), and cancerous patients. Raman spectroscopy was used to acquire high-resolution biochemical fingerprints from these samples. A custom-developed convolutional neural network (CNN) was then trained on the spectral data to learn and identify subtle biomarker-associated patterns indicative of neoplastic transformation. The AI-augmented system achieved a diagnostic accuracy of 96.5%, with a sensitivity of 98% and a specificity of 95% in differentiating high-grade lesions and cancerous samples from healthy ones. The model successfully identified key spectral shifts related to nucleic acid and protein conformational changes, correlating them with disease progression.
One Health Approach to Environmental and Public Health Challenges: Bridging the Gap between Human, Animal, and Environmental Health Benny Novico Zani; Jackson Lee; Muntasir Muntasir
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i3.3450

Abstract

Background. This study is grounded in the growing recognition that complex environmental and public health challenges cannot be effectively addressed through sectoral approaches that separate human, animal, and environmental health. Accelerating climate change, biodiversity loss, emerging zoonotic diseases, and environmental degradation have intensified interactions across these domains, revealing critical weaknesses in fragmented health governance. Purpose. The objective of this research is to examine how the One Health approach can serve as an integrated framework to bridge disciplinary and institutional gaps in addressing contemporary environmental and public health challenges. Method. The study employs a qualitative integrative review design, synthesizing evidence from peer-reviewed international journals, policy reports, and global health frameworks to identify patterns, mechanisms, and implementation strategies associated with One Health practices. Results. The findings indicate that One Health-oriented interventions enhance early disease detection, improve risk communication, strengthen environmental monitoring, and support more resilient public health responses through cross-sector collaboration. The results also demonstrate that institutional coordination, data integration, and shared governance structures are decisive factors in translating One Health principles into measurable health outcomes. Conclusion. The study concludes that the One Health approach represents a transformative paradigm for public and environmental health governance, offering a robust pathway to manage systemic risks at the human–animal–environment interface. Strengthening policy alignment, interdisciplinary capacity, and institutional commitment is essential to realize its full potential.
Co-Authors Jackson Lee Muntasir, Muntasir Ravi Dara Vicheka Rith