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 deployed...

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Veröffentlicht in:	Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association 2023-03, Vol.26 (2), p.286-297
Hauptverfasser:	Vo, Daniella, Ghosh, Pradipta, Sahoo, Debashis
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdominal Surgery Animal models Animals Artificial Intelligence Boolean Cancer Research Dysplasia Gastric cancer Gastric Mucosa Gastritis Gastritis, Atrophic Gastroenterology Gene expression Helicobacter Infections - drug therapy Humans Intestinal Neoplasms Intestine Medical treatment Medicine Medicine & Public Health Metaplasia Mice Oncology Original Article Precancerous Conditions Prediction models Stomach Neoplasms - genetics Surgical Oncology Therapeutic targets
Online-Zugang:	Volltext
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