Stratification of patient risk profiles and personalization of colorectal cancer care - Developing, validating, and implementing machine learning algorithms for optimization of colorectal cancer treatment

PhD defence by Karoline Bendix Bräuner

Assessment Committee

[Associate professor Camilla Qvortrup, Department of Clinical Medicine, University of Copenhagen (Chairperson)
Associate professor Issam Al-NAjami, University of Southern Denmark
Professor Teodor Grantcharov, Stanford University

Supervisors

Professor Ismail Gögenur
Lars Konge

Department

Department of Clinical Medicine

Graduate Programme

Surgical Sciences

Place

Building: Psykiatrien Slagelse, Room: Auditoriet, Fælledvej 6, 4200 Slagelse

Email address to gain access to the thesis: karoline.bendix1@gmail.com.
You will either receive a copy of the thesis or be informed where you can read a physical copy.
Recipients of copies of the thesis are not allowed to share or distribute it due to copyright compliance.

Short description of the thesis

An exciting defence of a PhD thesis concerning itself with artificial intelligence, prediction modelling, colorectal cancer care, perioperative optimization and medical simulation. 
We will spend the afternoon discussing five distinct studies and their designs and then later delve into the future possibilities of using prediction modelling in clinical care.