Prospect of using deep learning for predicting differentiation of myeloid progenitor cells after sep...
Prospect of using deep learning for predicting differentiation of myeloid progenitor cells after sepsis
About this item
Full title
Author / Creator
Publisher
China: Lippincott Williams & Wilkins Ovid Technologies
Journal title
Language
English
Formats
Publication information
Publisher
China: Lippincott Williams & Wilkins Ovid Technologies
Subjects
More information
Scope and Contents
Contents
According to the findings of that study, G-CSF, M-CSF, and GM-CSF may all favor the development of M-MDSCs under different combinations and concentrations. [24] This impressive research points out a new way of using deep learning to observe and predict the differentiation of myeloid branch after sepsis, provided we construct a relevant model. [...]...
Alternative Titles
Full title
Prospect of using deep learning for predicting differentiation of myeloid progenitor cells after sepsis
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_227b8626c38c403498243d131ed30476
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_227b8626c38c403498243d131ed30476
Other Identifiers
ISSN
0366-6999,2542-5641
E-ISSN
2542-5641
DOI
10.1097/CM9.0000000000000349
