For Drug Developers

Innovation Platforms

Innovating Preclinical Cancer Drug Development

We are innovating preclinical drug development pipelines through integration of our three innovation Platforms: well-defined Patient Cohorts, patient-derived Organoid models and Artificial Intelligence. 

Our unique approach incorporates these human-relevant platform technologies into one integrated ecosystem, facilitating access for cancer drug developers.

By combining real-world oncology data with human-relevant lab models and the power of AI, we can better predict the effectiveness of candidate therapies for specific patient groups. This brings the patient into the preclinical development process earlier, de-risking and accelerating the development of personalized and effective therapies.

Future-Proof Preclinical Drug Development

At Oncode Accelerator, we help individual drug developers to bring new therapies closer to patients. Simultaneously, we aim to innovate and improve the way that oncology therapies are developed. 

Using new and cutting-edge technologies like those from our innovation Platforms can help scientists to develop better therapies, faster. However, new models, tools, and strategies do not always fit within existing regulatory pathways. For innovations to be used in therapy development, sometimes we also need to innovate in how they are regulated. Otherwise, promising discoveries may linger in the lab. 

This is where regulatory innovation becomes essential in our mission to optimize and accelerate the development of new cancer therapies for the benefit of patients of all ages.

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Accelerating the Development of Small Molecules, Biologics, Cell and Gene Therapy, and Therapeutic Vaccines

We integrate technologies, tools, data, and methods from our innovation Platforms into preclinical development pipelines for four key types of cancer therapies, represented by our workstreams: Small Molecules, Biologics, Cell and Gene Therapy, and Therapeutic Vaccines. 

Our Workstreams

We believe in human-first preclinical oncology. By integrating patient data and materials and patient-relevant models into early stages of preclinical therapy development, we can better predict the effectiveness of newly developed therapies for specific patient groups, de-risk projects, and speed up the development process.​ 

Our world-class infrastructure and state-of-the-art technologies are available through Demonstrator Projects to drug developers globally.

Demonstrator Projects