# From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/from-patterns-to-patients-advances-in-clinical-machine-learning-for-cancer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kyle Swanson,Eric Q. Wu,Angela Zhang,Ash A. Alizadeh,James Zou |
| Citations | 574 |
| DOI | 10.1016/j.cell.2023.01.035 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | http://www.cell.com/article/S0092867423000946/pdf |
| OpenAlex ID | https://openalex.org/W4323865263 |
| PMID | 36905928 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Ash A. Alizadeh](https://scholariq.org/researchers/ash-a-alizadeh/)
- [Eric Q. Wu](https://scholariq.org/researchers/eric-q-wu/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Cancer Genomics and Diagnostics](https://scholariq.org/topics/cancer-genomics-and-diagnostics/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.