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All Journal Jurnal Sains Biomedis
Niken Rahmah Ghanny
1) Faculty of Medicine, Universitas Pembangunan Nasional Veteran Jakarta, INDONESIA 2) Research Centre for Moringa Oleifera, Universitas Pembangunan Nasional Veteran Jakarta, INDONESIA

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Transformasi Biomedik Menuju Personalisasi dan Kesehatan Presisi pada Kanker Niken Rahmah Ghanny; Herera Rahajeng; Pararawendy Indarjo; Afifa Radhina; Muhammad Fadhil
Jurnal Sains Biomedis Vol. 1 No. 02 (2025): Jurnal Sains Biomedis
Publisher : Prodi Sains Biomedis Fakultas Ilmu Kesehatan Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/biomedis.v1i02.10545

Abstract

Biomedical transformation is redefining cancer research and clinical practice by integrating experimental and computational approaches, digital technologies, and patient-specific models to realize precision health. Wet lab experiments generate molecular, imaging, and clinical data, while computational biology and artificial intelligence (AI) interpret complex datasets to uncover predictive biomarkers, optimize therapy selection, and simulate tumor behavior. Digital transformation accelerates data integration through multi-omics, radiomics, and electronic health records, enabling the development of multimodal biomarkers and improved patient stratification. Furthermore, patient-specific models, such as patient-derived organoids (PDOs), xenografts, and digital twin systems preserve tumor heterogeneity and microenvironmental complexity, allowing individualized drug testing and treatment prediction. The convergence of these frameworks’ advances precision oncology from a population-based paradigm toward personalized, adaptive, and data-driven cancer care. This integrative approach strengthens translational research, enhances diagnostic accuracy, and promotes more effective, patient-centered therapeutic strategies.
Co-Authors Afifa Radhina Muhammad Fadhil Pararawendy Indarjo Rahajeng, Herera