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GSK

ENABLING A PHARMACEUTICAL R&D PIPELINE

CLIENT

REQUIREMENT
REQUIREMENT

How can computer modelling help us to solve a key need of the pharmaceutical industry – to improve the “backbone” of their business: their R&D pipeline?

CHALLENGE
CHALLENGE

Our challenge was providing the user with a great deal of flexibility in easily defining the problem in the tool, and having it give transparent explanations of the results it produced.

SOLUTION
SOLUTION

A transparent and easy to use model of an R&D pipeline that simulates the development and maturing of future products, against commercial demand profiles for them to provide insight into progression strategies.

Looking for new ways to optimise an R&D pipeline
Looking for new ways to optimise an R&D pipeline

The pharmaceutical industry's lifeblood is R&D. A major drug company’s success almost completely depends on discovering and developing new medicines, and their capital investment reflects this. Pharmaceutical R&D spending is huge – the second largest of all industries – and it is expected to grow even more. This puts significant pressure on the industry to optimise R&D. However, traditional R&D approaches across the industry yield a low success rate and costs billions, which in-turn impacts the return on investment that goes into drugs discovery. 

 

Can new approaches that use exploratory computer modelling help to identify efficiencies and improve the R&D process by predicting the pipeline of drugs in an effective way?  

 

Imagining the future through the simulation of the chemical assets
Imagining the future through the simulation of the chemical assets

Using agent-based modelling techniques, wdeveloped an advanced simulation environment thatrelies on the information about the chemical assets. The model accounts for assets that currently exist in GSK’s R&D pipeline, and predicts future compounds with varying attributes. We have provided an extremely adaptable interface, which allows GSK to tailor model runs to the specific attributes of interest and create new modelled compounds. The user can run a range of scenarios in order to generate a compelling business case for potential R&D strategies. This includes different progression strategies, such as fast tracked and accelerated, and their impact on cost and ROI. It handles uncertainty throughout the multiple stages and also in consumer demand for compounds. 

The need for flexibility
The need for flexibility

We wanted to develop a way that allowed users to easily and flexibly configure the attributes of the entities or assets within the model. GSK wanted to be able to do this for any number of attributes for any number of assets. Providing this level of flexibility within a simulation and a simple way for the user to specify them, was a particular challenge.

Transparency in results
Transparency in results

The simulation is providing results to inform important investment decisions. For this reason, we did not want to develop a black-box model where there was no visibility of the simulation logic and the outputs could not be easily interpreted. To better support a transparent decision-making process, we created a user-friendly interface that allows users to visualise the progression of products across the pipeline and understand the business logic that has been imbedded in each stage of the process.

The future
The future

Key concepts of the model are not restricted to the pharmaceutical industry. A similar approach could be applied to any industry with a R&D pipeline. For instance, in the FMCG (fast moving consumer goods) industry, many iterations of a product are tested to see how effectively they meet consumer needs – the likelihood of a product progressing from the concept stage through to market launch could be simulated with our modelling solution.

Let’s collaborate

Send us an email, to discuss a new project.

We’re a team of innovators who are excited about unique ideas and help companies to create amazing solutions.

Pharmaceuticals

GSK

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