When applied as part of a structured approach, predictive modelling can provide deep process and product understanding, and can enable true, continuous process validation as envisioned by ICH ...

Chemical predictive modelling encompasses empirical computational methods based on observed patterns in data that guide the design of future compounds. Simple physicochemical property-based guidelines ...

In recent years, funding cuts, staff shortages and a lack of end-to-end digital transformation have placed an inordinate amount of pressure on public sector organizations and the services they provide ...

Predictive modelling involves using a model of a process, usually a computer model, to predict a likely outcome. Model predictive control (MPC) takes this further and uses a dynamic model to calculate ...

The biopharma industry has been notoriously cautious and slow to adopt new technologies, not least because it is a strictly regulated space and the sector has built up long-standing, well-established ...

Introduction Chronic obstructive pulmonary disease (COPD) is a significant chronic respiratory condition characterised by persistent airway obstruction, leading to substantial morbidity and mortality ...

This is the repository corresponding to the paper AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling and contains the experimental code for reproducing the ...