About this Research Topic
Ulcerative colitis is a chronic inflammatory bowel disease characterized by the occurrence of many pathological lesions, such as ulcers, crypt abscesses, small vessel inflammation leading to inflammation, and ulcerative lesions of the mucosa and submucosa, that are the main pathological features of the disease.
The etiology of the disease has been extensively studied and it is known to be a combination of environmental components, genetic factors, and immune factors which will lead to the alteration of the immune response in the mucosa of the intestine.
Many molecular pathways have been identified in the pathogenesis of ulcerative colitis and healing of the mucosa is in fact an important factor that may lead to the reduction of ulcerative colitis complications, so the involved molecular pathways in this process are of importance for the discovery of new targets for potential treatment.
In recent years, various biomarkers of mucosal healing have been explored, both serum and fecal markers. Biomarkers discovery for the pathogenesis of ulcerative colitis and mucosal healing remains a fundamental area of research to be explored, to guide clinicians to find effective therapies.
With this Research Topic, we want to collect manuscripts that investigate new biomarkers for ulcerative colitis, taking advantage of the latest advanced technologies and artificial intelligence.
Keywords: ulcerative colitis, biomarkers, therapies, artificial intelligence, machine learning, mucosal healing
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