Artificial intelligence-guided discovery of gastric cancer continuum

BACKGROUND: Detailed understanding of pre-, early and late neoplastic states in gastric cancer helps develop better models of risk of progression to gastric cancers (GCs) and medical treatment to intercept such progression. METHODS: We built a Boolean implication network of gastric cancer and deploy...

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Detalles Bibliográficos
Autores principales: Vo, Daniella, Ghosh, Pradipta, Sahoo, Debashis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871434/
https://www.ncbi.nlm.nih.gov/pubmed/36692601
http://dx.doi.org/10.1007/s10120-022-01360-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871434/
https://www.ncbi.nlm.nih.gov/pubmed/36692601
http://dx.doi.org/10.1007/s10120-022-01360-3

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