Convergence of evolving artificial intelligence and machine learning techniques in precision oncology

• DOI: 10.1038/s41746-025-01471-y
• Publication Date: 2025-01-31T16:45:36Z
• Authors: Elena Fountzilas; Tillman Pearce; Mehmet A. Baysal; Abhijit Chakraborty; Apostolia M. Tsim...
• Keywords: Identification

The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field precision oncology, promising to improve diagnostic approaches therapeutic strategies for patients cancer. By analyzing multi-dimensional, multiomic, spatial pathology, radiomic data, these enable a deeper understanding intricate molecular pathways, aiding in identification critical nodes within tumor's biology optimize treatment selection. applications AI/ML oncology are extensive include generation synthetic e.g., digital twins, order provide necessary information design or expedite conduct clinical trials. Currently, many operational technical challenges exist related data technology, engineering, storage; algorithm development structures; quality quantity pipeline; sharing generalizability; incorporation into current workflow reimbursement models.