Insilico - Version InClinico -Software for Clinical Risk Assessment and Portfolio Triage
InClinico utilizes massive amounts of data about the targets, diseases, clinical trials, and even scientists involved with the study at the preclinical and clinical stages. We believe that prospective validation is the best way to predict the outcomes of clinical trials
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inClinico extracts meaningful representations from clinical trial protocol
- Trial structure - blinding, randomization and cohorts
- Patient eligibility criteria
- Endpoints
- Clinical site information
Get interactive report on the clinical protocol details impact
- Which details were the most important for the model prediction
- Exact quantified influence of the each feature as well as feature groups
Get actionable insights into how to change the clinical protocol to improve the probability of success
- Simulate alternative designs and get detailed reports
- Choose the best design aligned with the expert knowledge and data-driven recommendations
Advanced AI modelling platform powered by multimodal data
- Proprietary ML algorithms for information extraction & data harmonization
- Comprehensively harmonized and curated public data
- Advanced NLP system with a feedback loop from industry experts
- Large preclinical data feed from CROs
Individual clinical trial reports
- Probabilities of success based on different modalities
- Granular interpretation of the predictions
- Industry-wide success rate analysis
Summary report with benchmarked pharmaceutical catalysts
- Clinical trials prioritized by probabilities of success
- Report covers clinical trial sponsors with details on their financials
- Leverage derived probabilities and estimate NPV more precisely to inform licensing and investment decisions