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A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer
Research article (Journal of Translational Medicine, 2023) · cited 43× · AI/ML
A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer
Summary
A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer is a scholarly article[1].
Key Facts
A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-machine-learning-framework-develops-a-dna-replication-stress-model-for-predicting-clinical-outcomes-and-therapeutic-vu
MLA“A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-machine-learning-framework-develops-a-dna-replication-stress-model-for-predicting-clinical-outcomes-and-therapeutic-vu.
BibTeX@misc{4ortxyz_a-machine-learning-framework-develops-a-dna-replication-stress-model-for-predicting-clinical-outcomes-and-therapeutic-vu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer}}, year = {2026}, url = {https://4ort.xyz/entity/a-machine-learning-framework-develops-a-dna-replication-stress-model-for-predicting-clinical-outcomes-and-therapeutic-vu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer — https://4ort.xyz/entity/a-machine-learning-framework-develops-a-dna-replication-stress-model-for-predicting-clinical-outcomes-and-therapeutic-vu (retrieved 2026-05-24)
