Through the combined capabilities of our AI Platform, scientific expertise and wet lab facilities, we are well positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods.
Too many patients are suffering from untreated or poorly treated diseases. We put patients first and use our disease-agnostic AI drug discovery platform to expand the search for new treatments and increase the likelihood of success in diseases that have defied conventional research efforts.
We build our technology and tools to augment and enhance human ingenuity, we keep humans in the loop through human-centric design. Our technology is carefully developed and used with human oversight and a feedback system to make sure AI brings real and meaningful value to our research.
We rigorously query, test and validate the outputs of our AI predictions. The quality and validity of our AI-derived hypotheses are tested in assays and via world-class experimental protocols. Each delivery area has a defined hierarchy of metrics that measure the relationship between our AI outputs.
Our scientists have strong requirements to understand the biological rationale – instead of our AI being a "black box", they are able to query how results were produced by the AI and check results through the latest lab-based technology and experimental techniques. Strong governance in our industry protects patients and avoids risks in deploying AI.
We seek to avoid and mitigate any unjust impacts of bias in data sets on the development of treatments. We actively strive to address the lack of diversity in biomedical data. Our Data Diversity Initiative exists to propose tangible solutions to this urgent issue, raise awareness and act as a forum to drive change.
We uphold high standards of data integrity and privacy, only using data from reputable sources or data that we have generated ourselves. We respect the privacy and rights of data subjects where personal data is involved. Where we use patient data in our work, it is pseudonymised at the point of ingestion or anonymised at source before we ingest it.