Cytoreason and Pfizer to use machine learning model of the immune system for drug discovery

Published: 8-Jan-2019

CytoReason, a leader in machine learning for drug discovery and development, has entered into a collaboration agreement with Pfizer that will leverage CytoReason’s cell-centred models of the immune system

CytoReason will receive from Pfizer payments potentially equaling up to low double digit millions of dollars for technology access fees, research support and certain success-based payments.

CytoReason’s proprietary platform helps rebuild lost cellular information from gene expression data and associates genes to specific cells.

This information is then integrated with additional omics and literature data to create a cell-based model of the trial-specific immune response. Integration with the CytoReason disease model empowers the study analytics and allows the model to learn and improve, leading to robust target discovery, drug response biomarkers and indication selection.

“We believe that CytoReason’s platform has the potential to offer valuable insights that may be applied to our research into the human immune system,” said Michael Vincent, Chief Scientific Officer, Inflammation & Immunology, Pfizer.

“Leveraging technologies such as this can help us understand disease and prioritise targets and support our mission of bringing innovative new therapies to patients who need them.”

“The collaboration with Pfizer will further strengthen our models in our core therapeutic areas. This will be our fifth major partnership, which we believe will help make our model unparalleled in its accuracy for assets across the pipeline,” said David Harel, CytoReason’s CEO.

“CytoReason’s model brings together thousands of samples on a cell-protein-gene level, allowing for fast and accurate insights.”

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