Emerging technologies can help transform the pace and insight of oncology drug development. We currently leverage:
• Artificial Intelligence
• Machine Learning
• Cloud Computing
• Automated genomic analysis
• Big data analytics
These techniques and methods have been robustly tested in many different industries and applying technologies like machine learning in pharma and healthcare will help solve two of the central problems in cancer therapy:
• Stratifying patients into responders and non-responders, ultimately de-risking and streamlining clinical trials.
• Clarifying insight into the mechanism of action for drugs, resulting in improved molecular targeting.
Both of these problems have great potential to be improved through the application of A.I., which helps to shorten the drug development timeline and reduce costs for oncology pharmas.
We are continuously advancing our precision oncology therapeutics platform through partnerships with cloud computing firms, hospitals, clinical healthcare centers, investigator consortia, and tissue and data banks.