Uncovering disease progression trajectories across multiple timescales with hybrid ODE-mixture models
Biological systems are capable of evolving across multiple timescales, yet most modeling approaches capture either short-term physiological responses or long-term disease progression. Additionally, methods that combine these time scales either struggle with inter-individual variation, or require large volumes of data to work. We present Latent Class Parameter Trajectory Analysis (LCPTA), a hybrid…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
