With various challenges impacting the clinical supply chain, existing models are no longer fit-for-purpose and need to adapt.

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 ...

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

Allergy research has historically relied on traditional systems such as 2D cell cultures and mouse models to uncover mechanisms underlying allergic ...