2 papers
q-bio.QM2024
Prediction of cancer dynamics under treatment using Bayesian neural networks: A simulated study
Even Moa Myklebust, Arnoldo Frigessi, Fredrik Schjesvold +3
Predicting cancer dynamics under treatment is challenging due to high inter-patient heterogeneity, lack of predictive biomarkers, and sparse and noisy longitudinal data. Mathematic…
q-bio.PE2023
Using birth-death processes to infer tumor subpopulation structure from live-cell imaging drug screening data
C. Wu, E. B. Gunnarsson, E. M. Myklebust +6
Tumor heterogeneity is a complex and widely recognized trait that poses significant challenges in developing effective cancer therapies. In particular, many tumors harbor a variety…