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Yilina Saibaidoula on Muck Rack

Yilina Saibaidoula

As seen in: Frontiers
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Articles

The translational chasm in machine learning for triple-negative breast cancer: a quantitative landscape assessment

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By Jianghua Ou, Nadire Yiming, Yilina Saibaidoula, Kadeyanmu Abulimiti
| Frontiers
Abstract Background: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer and the one with the fewest therapeutic targets. The application of machine learning (ML) in TNBC research is becoming increasingly widespread; however, systematic bibliometric studies focusing on this rapidly evolving interdisciplinary field are still lacking.
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