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Organoid-Guided Precision Medicine: From Bench to Bedside
Boqaing Tao1, Xiaolan Li2, Ming Hao1
1Department of Oral and Maxillofacial Surgery Hospital of Stomatology Jilin University Changchun China.
Medcomm
|May 5, 2025
Summary
Organoid technology advances precision medicine by modeling diseases and testing treatments. Patient-derived organoids offer personalized diagnostics and drug development platforms for tailored therapies.
Area of Science:
- Biotechnology and Biomedical Engineering
- Regenerative Medicine
- Genomics and Personalized Medicine
Background:
- Organoid technology represents a significant advancement in biotechnology.
- Organoids recapitulate physiological architectures and disease phenotypes in 3D culture systems.
- They utilize scaffolds, stem cells, and cytokine regulation to mimic tissue microenvironments.
Purpose of the Study:
- To systematically review the translational trajectory of organoids from research to clinical application.
- To emphasize organoid construction, regulatory factors, and applications in personalized healthcare.
- To highlight organoids' role in drug development, diagnostics, and regenerative strategies.
Main Methods:
- Three-dimensional (3D) culture systems utilizing natural and synthetic scaffolds.
- Employment of diverse stem cell sources for organoid generation.
- Spatiotemporal cytokine regulation to model tissue-specific microenvironments.
- Integration of multiomics analyses and clustered regularly interspaced short palindromic repeats (CRISPR)-based screens.
Main Results:
- Diverse organoid types (skin, intestinal, lung, tumor) have enabled breakthroughs in modeling development, drug screening, and disease pathogenesis.
- Patient-derived tumor organoids accurately reflect tumor heterogeneity and genomic profiles for predicting chemotherapy response.
- Organoid-guided analyses identify biomarkers and resistance mechanisms, optimizing therapeutic targeting.
Conclusions:
- Organoids are revolutionizing precision medicine by bridging molecular insights with patient-specific therapies.
- They provide dynamic platforms for drug development, regenerative strategies, and individualized treatment paradigms.
- Future integration with AI, microfluidics, and spatial transcriptomics will enhance clinical relevance and scalability.

