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2025 Annual Symposium On Demand

Presentation Time: 02:00 PM - 03:15 PM

Abstract Keywords: Data Standards, Natural Language Processing, Omics (genomics, metabolomics, proteomics, transcriptomics, etc.) and Integrative Analyses, Artificial Intelligence, Deep Learning, Bioinformatics
Working Group: Natural Language Processing Working Group
Primary Track: Applications
Programmatic Theme: Translational Bioinformatics

The use of complementary and integrative health (CIH) approaches—such as acupuncture, mindfulness, and nutritional therapy—is growing across healthcare settings to support whole person health by addressing physical, social, environmental, and behavioral factors. However, key gaps remain in understanding the effectiveness, safety, and mechanisms of these therapies. Informatics methods, including natural language processing (NLP), ontologies, and knowledge graphs (KGs), offer powerful tools to integrate and analyze data from diverse sources. This panel will highlight foundational informatics research aimed at advancing CIH by improving data integration and generating new knowledge. Presenters will explore how combining clinical data, CIH approaches, and omics research (e.g., metagenomics, metabolomics) can support knowledge discovery and scientific validation of multimodal interventions. By synthesizing these data sources, informatics can help uncover the mechanisms that drive whole person health, ultimately enhancing patient outcomes and accelerating innovation in personalized, integrative care

Speakers:
Robin Austin, PhD, DNP, DC, RN, NI-BC, FAMIA, FAAN
University of Minnesota, School of Nursing

Marcelo Fiszman, MD, Ph.D. FACMI, DipIBLM
Semedy Inc

Cui Tao, PhD
Mayo Clinic

Rui Zhang, PhD, FAMIA, FACMI
University of Minnesota, Twin Cities

Halil Kilicoglu, PhD
University of Illinois Urbana Champaign

Authors:
Robin Austin, PhD, DNP, DC, RN, NI-BC, FAMIA, FAAN - University of Minnesota, School of Nursing; Marcelo Fiszman, MD, Ph.D. FACMI, DipIBLM - Semedy Inc;

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