Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
The University of Texas MD Anderson Cancer Center
Abstract
The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field of precision oncology, promising to improve diagnostic approaches and therapeutic strategies for patients with cancer. By analyzing multi-dimensional, multiomic, spatial pathology, and radiomic data, these technologies enable a deeper understanding of the intricate molecular pathways, aiding in the identification of critical nodes within the tumor's biology to optimize treatment selection. The applications of AI/ML in precision oncology are extensive and include the generation of synthetic data, e.g., digital twins, in order to provide the necessary information to…
Citation impact
- FWCI
- 156.50
- Percentile
- 100%
- References
- 196
Authors
5Topics & keywords
- Computer science
- Workflow
- Generalizability theory
- Artificial intelligence
- Pipeline (software)
- Machine learning
- Identification (biology)
- Precision medicine