Finding better drugs, faster.
By combining the power of AI with the depth of 3D cell biology, we are pushing the boundaries of oncological drug discovery.
AI-enabled drug efficacy prediction for oncology compounds
Our AI-powered model predicts treatment success, identifies effective compounds from millions, understands mechanisms of action, and targets the patient segments that will benefit most.
2D static cell image analysis
3D live cell image analysis
We have the largest 3D human single cell dataset in academic science (cell number), and aim to build out the world's largest 3D cell imaging dataset.
From this, we have built a proprietary dataset on which our novel machine learning model was trained. This has a multiplicative impact on the predictive accuracy of our models.
Fail fast.
Bypass failure with predictive power of AI.
By combining the power of AI with the depth of 3D cell biology, we are pushing the boundaries of oncological drug discovery.
Bring more drugs to market, faster.
Predict success and failure earlier in the pipeline.
Personalize therapy on a cell level.
Improving drug discovery.
Reshaping the drug development pipeline.
Broadening Search.
Cast a wider net within compound libraries to identify hidden potential.
Refining Focus, Faster.
Quickly narrow down to the most promising candidates with unparalleled accuracy.
Creating Certainty.
Utilize our extensive experience and state-of-the-art technology to achieve breakthrough results.
Contact
Address
Flat 3702 55 Upper Ground, London, United Kingdom, SE1 9HE
georgia.mitsi@sentinal4d.com | chris.bakal@sentinal4d.com | matt.devries@sentinal4d.com