sevenTM helps to create society changing pharmaceuticals. We have built automated per disease Machine Learning models that share an in-silico toxicology prediction pipeline. Our models gain real-world validation via in-silico/in-vitro feedback loops.
We do this by partnering with R&D teams of Pharmaceutical and top researchers to design new candidates to move to clinical trials leveraging our AI-powered drug discovery pipeline.
Low population disease therapeutic design remains difficult without such technological advance and these patients will remain underserved.
The promise of exponentially increasing the speed and reducing the cost of pre-clinical drug discovery with algorithmic approaches has gone unrealized to date.
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