DALL·E 2023-12-01 16.20.02 - A dynamic visualization of 'Tapping the power of clinical data to identify multidimensional Irritable Bowel Syndrome (IBS) endo-phenotype'. The image

Tapping the Power of Clinical Data to Identify Multidimensional Irritable Bowel Syndrome (IBS) Endo-Phenotype

Tapping the power of clinical data to identify multidimensional Irritable Bowel Syndrome (IBS) endo-phenotype

Detection & segmentation of anatomical structures in retinal images
Irritable bowel syndrome (IBS) is the most commonly encountered functional gastrointestinal disorder. It is characterized by features of abdominal pain and disordered bowel pattern with a worldwide prevalence of approximately 10-14%. Despite its prevalence and often chronic, relapsing nature, the underlying pathophysiology of IBS remains incompletely understood. IBS is a chronic condition and affects the quality of life for one majorly. IBS significantly impairs work productivity. On average, people with IBS miss 2 days of work per month. IBS disrupts patients’ daily lives and activities. 23% of patients with IBS stay home more often due to symptoms. Hence, this becomes a disease which needs to be managed long-term. Patients usually fail to get a proper diagnosis due to the complex nature of IBS, as there are multiple risk factors involved along with other diseases that influences the primary diagnosis. This research builds a solution which shows the other diseases(comorbidities) that are strongly associated in patients with persistent symptoms of IBS. The system identifies the features (symptoms/ diseases/dietary practices) which are strongly associated with IBS, to help clinicians better understand the diagnosis that is timely and efficiently.



  • Uswah Ahmad Khan (MSCS-9 July 2023)

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