Integrative spatial omics and artificial intelligence: transforming cancer research with omics data and AI
QIMR Berghofer Medical Research Institute · Translational Research Institute · +3 more institutions
Abstract
The integration of multi-omics data, including genomics, transcriptomics, proteomics, epigenomics, and metabolomics, coupled with histological spatial data has transformed biomedical research, offering unprecedented insights into cellular functions and disease mechanisms. However, the sheer volume and complexity of these datasets present a significant challenge in terms of interpretation and clinical translation. Artificial intelligence (AI) and machine learning (ML) are transforming data analysis, enabling the extraction of meaningful patterns from high-dimensional datasets and facilitating the development of predictive models. This shift is particularly transformative in cancer research, where understanding…
Citation impact
- FWCI
- 58.83
- Percentile
- 100%
- References
- 138
Authors
7- MEMaddison E. McKenzie
QIMR Berghofer Medical Research Institute
- SESergio Erdel Irac
Translational Research Institute, The University of Queensland, Mater Research
- ZCZhian Chen
Translational Research Institute
- AMAfshin Moradi
Translational Research Institute
- ALAdrianne L. Jenner
Queensland University of Technology
Topics & keywords
- Data integration
- Big data
- Precision medicine
- Spatial analysis
- Transformative learning
- Omics
- Proteogenomics
- Personalized medicine