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Incorporating Genome Projects and Comparative Genomics into Problem-Based Learning for Future Biomedical Scientists

Dilnavoz AdizovaDepartment of Retraining and Advanced Training of Family Doctors named after N. D. Sharipova. Bukhara State Medical Institute. Bukhara , UzbekistanGulafzal AmonovaDepartment of Retraining and Advanced Training of Family Doctors named after N. D. Sharipova. Bukhara State Medical Institute. Bukhara , UzbekistanAbdikodir IsmatovAbror KhamraevDepartment of Retraining and Advanced Training of Family Doctors named after N. D. Sharipova. Bukhara State Medical Institute. Bukhara , UzbekistanValijon VakhabovDepartment of Retraining and Advanced Training of Family Doctors named after N. D. Sharipova. Bukhara State Medical Institute. Bukhara , UzbekistanMaftuna AkhmadalievaDilnoz BuriyevaFergana Medical Institute of Public Health , Fergana , Uzbekistan,
2026en
ABI

Annotatsiya

Problem-based learning (PBL) offers a student-centered framework for cultivating critical thinking, collaboration, and inquiry in biomedical education. Integrating genome projects and comparative genomics into PBL enhances learning by providing authentic, data-rich scenarios that bridge theory and practice. Flagship initiatives such as the Human Genome Project, the 1000 Genomes Project, and the UK Biobank offer extensive datasets for exploring genetic variation, evolutionary conservation, and cross-species analyses. These resources allow students to formulate hypotheses, evaluate evidence, and engage in data-driven reasoning, while reinforcing ethical, legal, and social considerations surrounding genomic data. Incorporating real-world genomic datasets into case-based scenarios promotes analytical literacy, computational competence, and understanding of biomedical research. Such integration prepares future biomedical scientists to navigate genomics-informed research, clinical applications, and data stewardship, equipping them with the skills and frameworks needed for the evolving landscape of precision medicine and genomics-based inquiry

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