reference/34916303

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/34916303

Outgoing Links

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startingPage	104364
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bibliographicCitation	She Y, He B, Wang F, Zhong Y, Wang T, Liu Z, Yang M, Yu B, Deng J, Sun X, Wu C, Hou L, Zhu Y, Yang Y, Hu H, Dong D, Chen C, Tian J. Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study. EBioMedicine. 2022 Dec;86():104364. PMID: 36395737; PMCID: PMC9672965.
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date	202212
identifier	https://doi.org/10.1016/j.ebiom.2022.104364 https://pubmed.ncbi.nlm.nih.gov/36395737 https://pubmed.ncbi.nlm.nih.gov/PMC9672965
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language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study
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Total number of triples: 52.