TIGP (BIO)—Multi-omics and AI: Advancing Biomedical Research and Applications

Abstract

The rapid growth of biomedical big data, multi-omics, and artificial intelligence is transforming biomedical research and accelerating the development of precision health. By integrating genomic, clinical, imaging, microbiome, and other biological data, researchers can better understand disease mechanisms, identify novel biomarkers and therapeutic targets, and improve disease prediction and diagnosis. This presentation will introduce emerging trends in precision health and highlight how bioinformatics and AI enable biomedical discovery. Case studies in cancer genomics will illustrate how population-specific genomic data can reveal unique molecular characteristics, support biomarker discovery, and contribute to precision diagnostics and therapeutic development. Additional examples involving neoantigens, medical imaging, microbiome analysis, and exosome biomarkers will demonstrate the expanding role of multi-omics and AI across biomedical applications. Finally, the presentation will discuss how interdisciplinary collaboration can help translate biomedical discoveries into clinical and real-world impact.

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