Bayesian prediction and modeling have emerged as transformative tools in the design and management of clinical trials. By integrating prior knowledge with accumulating trial data, Bayesian methods ...

The cancer stem cell (CSC) paradigm is pivotal for understanding tumor progression, relapses, and therapeutic failure. Endowed with self-renewal, ...

Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Clinical trial attrition can be detrimental to clinical outcomes, patient well-being and the financial health of research programs. Clinical trial dropout rates, which range from 15% to 40%, greatly ...