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Indonesian Journal of Medical Chemistry and Bioinformatics

Abstract

Biomedical science is rapidly moving from data generation toward data-driven discovery and clinical translation. Genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics now provide multiple perspectives on human biology, while bioinformatics, artificial intelligence, and molecular modelling enable these complex datasets to be interpreted. The challenge is no longer simply to generate data, but to transform data into knowledge and knowledge into better medicine. This transition is particularly important for Indonesia, where genetic, environmental, microbial, and biological diversity creates both a challenge and an opportunity for population-relevant biomedical research.

Bahasa Abstract

Biomedical science is rapidly moving from data generation toward data-driven discovery and clinical translation. Genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics now provide multiple perspectives on human biology, while bioinformatics, artificial intelligence, and molecular modelling enable these complex datasets to be interpreted. The challenge is no longer simply to generate data, but to transform data into knowledge and knowledge into better medicine. This transition is particularly important for Indonesia, where genetic, environmental, microbial, and biological diversity creates both a challenge and an opportunity for population-relevant biomedical research.

References

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