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Longitudinal big biological data in the AI era.
Adil Mardinoglu1,2, Hasan Turkez3, Minho Shong4
1Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden. adilm@scilifelab.se.
Molecular Systems Biology
|August 6, 2025
Summary
Artificial intelligence (AI) and systems biology leverage big biological data for health insights. This approach integrates multi-omics, clinical, and environmental data to advance precision medicine and AI-driven healthcare.
Area of Science:
- Computational biology
- Genomics
- Systems biology
Background:
- Big biological data integrates multi-omics, clinical, wearable, imaging, diet, drug, and environmental factors.
- Advancements in omics technologies and computational power enable complex biological data analysis.
- Longitudinal and multi-layered data are essential for understanding whole-body functions in health and disease.
Purpose of the Study:
- To review AI and systems biology applications in multi-omics data integration and interpretation.
- To highlight the role of big biological data in creating digital twins and discovering biomarkers/drug targets.
- To discuss the incorporation of big biological data into clinical practice for AI-driven healthcare.
Main Methods:
- Review of recent AI and systems biology applications in multi-omics data analysis.
- Examination of global multi-omics datasets to understand biological layer interactions over time.
- Analysis of big biological data integration for clinical decision support systems.
Main Results:
- AI and systems biology facilitate the creation of digital twins and identification of novel biomarkers and drug targets.
- Multi-omics datasets reveal temporal interactions across biological layers, enhancing precision health.
- Incorporating big biological data is crucial for developing AI-driven clinical decision support systems.
Conclusions:
- Big biological data, integrated via AI and systems biology, is foundational for precision medicine.
- The development of AI-driven hospitals requires robust clinical decision support systems.
- A paradigm shift towards AI and systems biology-based healthcare models is essential.
Keywords:
Artificial IntelligenceDigital TwinsLongitudinal Multi-omics DataPrecision MedicineSystems BiologyMore Related Videos
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