Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges
Abstract Background The ability of machine learning (ML) to process and learn from large quantities of heterogeneous patient data is gaining attention in the precision oncology community. Some remarkable developments have taken place in the domain of image classification tasks in areas such as digit...
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| Main Authors: | Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
|
| Series: | BMC Cancer |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12885-025-13621-2 |
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