Neurodegenerative diseases such as Alzheimer's disease are notoriously heterogeneous; pathologically as well as in their clinical presentation in patients. There are differences between patients in terms of the pathways of progression, the speed of progression, and the effect the progression has on the patient's cognition. This myriad of differences not only makes clinical diagnosis very challenging, but also has major implications for the efficacy of drug trials. As heterogeneous as these diseases are, there is an underlying order in their progression. An underlying method to their disruption of homeostasis. An underlying symphony leading to the cacophony.

Artificial Intelligence, Disease progression model, Machine learning, Alzheimer's disease, Frontotemporal dementia, Neurodegeneration, Multiple Sclerosis, kunstmatige intelligentie, Ziekteprogressiemodel, Machine leren, ziekte van Alzheimer, Frontotemporale dementie, Neurodegeneratie, Multiple sclerose
W.J. Niessen (Wiro)
Erasmus University Rotterdam
This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 666992 and from TKI-LSH Health Holland Alzheimer Nederland project (No. LSHM18049)
978-94-6423-248-6
hdl.handle.net/1765/135552
ASCI dissertation series
For copyright reasons there is a partial embargo for this dissertation
Department of Radiology

Venkatraghavan, V. (2021, June 8). The symphony of cacophony: understanding the order in neurodegenerative diseases (No. 415). ASCI dissertation series. Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/135552