Description

Autoimmune diseases are caused by the overactivity of the immune system towards self-constituents. Risk factors of autoimmune diseases are multiple and include genetic, epigenetic, environmental, and psychological. Autoimmune chronic inflammatory bowel diseases, including celiac and inflammatory diseases (Crohn's disease and ulcerative colitis), constitute a significant health problem worldwide. Besides the complexity of the symptoms of these diseases, their treatments have only been palliative. Numerous investigations showed that natural phytochemicals could be promising strategies to fight against these autoimmune diseases.

 In this respect, plant-derived natural compounds such as flavonoids, phenolic acids, and terpenoids exhibited significant effects against three autoimmune diseases affecting the intestine, particularly bowel diseases. This review focuses on the role of natural compounds obtained from medicinal plants in modulating inflammatory auto-immune diseases of the intestine. It covers the most recent literature related to the effect of these natural compounds in the treatment and prevention of auto-immune diseases of the intestine.In this era of rapid technological advancement, computer vision in medical analysis and diagnosis has a profound significance in detecting and classifying anomalies or diseases in the human body. This study proposes an ensemble learning method to classify brain tumors or neoplasms (i.e. glioma, meningioma, pituitary adenoma) and auto-immune disease lesion (i.e. multiple sclerosis) using magnetic resonance imaging (MRI) of brain tumors and multiple sclerosis patients. The method includes pre-processing, feature extraction, feature selection, and classification. The pre-processing phase uses region of interest (ROI) of tumor and lesion, Collewet normalization, and Lloyd-max quantization. Kindly submit your manuscript through https://www.imedpub.com/submissions/reproductive-endocrinology-infertility.html

With regards
Michel
Journal Coordinator
Journal of Reproductive Endocrinology & Infertility