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Dissertations


                      

                                    Picture from Colourbox.

 

CONGRATULATIONS!

 

On this page we will present our PhD members that have their dissertations coming up. If the dissertation is streamed we will also link to the live streaming. We like to keep the list as updated as possible and we need your help to do so.

 

 

Upcoming dissertations

Amrinder Singh
Trial lecture: 9th December 2022 at 10:15
Topic for trial lecture: “Explaining artificial intelligence: Overall aims for human health and decoding biological complexity.
External link to trial lecture HERE
 
Dissertation: 9th December 2022 at 12:15 – 16:00
PhD thesis title: Falsifiable Network Models. A Network-based Approach to Predict Treatment Efficacy in Ulcerative Colitis”.
 
Summary of thesis:

Inflammatory bowel disease (IBD) is a complex disorder that involves chronic inflammation of the digestive tract. IBD has mainly two subtypes, Crohn’s disease (CD) and ulcerative colitis (UC). IBD affects around 6.8 million globally, and < 1.3 million people in Europe. IBD can be devastating, resulting in significantly reduced quality of life.
There are multiple factors, such as genetics, environmental factors, microbiome, and immune system that cause IBD; but the molecular mechanisms behind IBD are still elusive. A significant proportion of patient fails to respond to therapy. Therefore, it is important to identify non-responders to standard therapy, so alternative treatments can be applied sooner.

In this work, a biological interpretable quantitative model was developed that predicts therapy response in UC patients. This model characterizes the individuals based on how strongly they respond to their immune systems’ alarm signals. These signals are interpreted through a complex network of protein molecules that determine how cells respond. We propose a mathematical model of how these networks process signals differently in each individual and relate this to which drugs patients respond to.

 

 
 
You can find past dissertations from NORBIS members here.