Treatment Prediction in PDAC Patients: A Predictive Model for FOLFIRINOX Chemotherapy Response using Random Forest and Integrative Analysis of Blood and Tumor Markers

Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease with a high mortality rate, poor prognosis, and a mere 7.7% 5-year survival rate [1] compared to 65% for all cancer types [2]. Approximately 80% of patients are diagnosed at the advanced stage [3], for which only palliative chemo(radio)therapy remains as treatment option. However,...

A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses

In this paper a Spatial Markov Chain Cellular Automata model for the spread of viruses is proposed. The model is based on a graph with connected nodes, where the nodes represent individuals and the connections between the nodes denote the relations between humans. In this way, a graph is connected where the probability of infectious spread...

A Spatial Markov Chain Cellular Automata Model for the Spread of the COVID-19 virus: Including parameter estimation

In this bachelor thesis we propose a spatial Markov Chain Cellular Automata<br/>model for the spread of the COVID-19 virus as well as two methods for parameter<br/>estimation. Network topologies are used to model the progression of the epidemic<br/>by considering each individual on a grid and using stochastic principles to determine the...