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Open access Sep 2026

Predicting disease progression and mortality in prostate cancer using real-world data-driven time-inhomogeneous Markov models

Summary Prostate cancer progression varies across patients. Understanding disease trajectories and mortality risk is important for improved healthcare. This study developed a time-inhomogeneous Markov model using territory-wide electronic medical records from Hong Kong to estimate 10-year disease progression. The model...

Jia-Qi Wang, Yuan-Shi Jiao, D. Craig et al. · 0 citations
Preprint Sep 2026

ZYT-World: A Real-Time Controllable World Model for Closed-Loop Autonomous-Driving Simulation

Generative world models offer controllable and repeatable closed-loop simulation for end-to-end and vision-language-action driving policies, but production deployment exposes three unresolved requirements: faithfully reproducing a mixed fisheye-pinhole rig at native resolutions; reconciling causal, per-timestep interac...

Bo-Ni Hu, Xiong Wei, Hao-Ming Huang et al. · 0 citations

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