Related Experiment Video
Updated: Jun 11, 2025
09:47
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
Published on: December 15, 2023
979
Digitalomics - digital transformation leading to omics insights
Nandha Kumar Balasubramaniam1,2, Scott Penberthy3, David Fenyo4
1PromptBio Inc, Pleasanton, CA, USA.
Expert Review of Proteomics
|October 4, 2024
Summary
Digital transformation, or digitalomics, accelerates biomarker discovery by integrating multiomics data. This enhances personalized medicine and clinical decisions for various diseases, including cancer.
Area of Science:
- Biotechnology
- Bioinformatics
- Computational Biology
Background:
- Biomarker discovery is shifting towards multiomics and single-cell approaches.
- Digital transformation technologies are crucial for advancing data-to-insight generation.
Purpose of the Study:
- To discuss the concept of 'digitalomics' and its impact on biomarker discovery.
- To highlight how digital transformation aids personalized therapy and precision medicine.
Main Methods:
- Integrating complex multiomic data for genotype-to-phenotype insights.
- Utilizing Artificial Intelligence, cloud computing, and high-performance computing.
- Employing tensors for multiomic analysis workflows.
Main Results:
- Digital transformation significantly impacts biomarker discovery across diverse diseases.
- Multiomic data integration with patient metadata improves patient stratification and targeted treatments.
- Digital transformation offers substantial time and cost savings in healthcare.
Conclusions:
- Digitalomics enhances biomarker discovery, leading to improved clinical outcomes.
- The integration of digital transformation is vital for the future of precision medicine.
- Applications in oncology demonstrate the power of digital transformation in biomarker discovery.
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