inClinico is a platform for Data-driven multimodal forecast of single clinical trial's probability of success (PoS).
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
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
Predict clinical trials success rate
Recognize the weak points in trial design
Adopt the best practices in the industry
Recognize the weak points in trial design
Adopt the best practices in the industry
Clinical Risk Assessment and Portfolio Triage
Core Features
Clinical Trial Outcome Scores
The ability to analyze performance for individual trials with simple data-driven metrics for the PoS
Scoring of custom trials
Compare designs for the clinical trial that are planned and optimize them for success
Database of historical and ongoing clinical trials
ind clinical catalysts that drive pharmaceutical growth, sort them by the PoS, and research the designs of successful trials
Comprehensive Report Generation
Customized reports with PoS and feature impacts on probabilities generated on inputs from Omics data, drug structure, trial protocol, preclinical data, and publications, grants, and patents
inClinico for Therapeutic Pipeline due Diligence
Advanced AI modelling platform powered by Multimodal data
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Proprietary ML algorithms for information extraction & data harmonization
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Comprehensively harmonized and curated public data
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Advanced NLP system with a feedback loop from
industry experts -
Large preclinical data feed from CROs
Individual Clinical Trial Reports
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Probabilities of success based on different modalities
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Granular interpretation of the predictions
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Industry-wide success rate analysis
Summary Report with benchmarked Pharmaceutical Catalysts
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Clinical trials prioritized by probabilities of success
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Report covers clinical trial sponsors with details on their financials
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Leverage derived probabilities and estimate NPV more precisely to inform licensing and investment decisions
inClinico for the Clinical Trial Design Enhancement
inClinico extracts Meaningful
Representations from Clinical Trial Protocol
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Trial structure — blinding, randomization and cohorts
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Patient eligibility criteria
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Endpoints
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Clinical site information
Get Interactive Report on the Clinical protocol details impact
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Which details were the most important for the model prediction
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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
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Simulate alternative designs and get detailed reports
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Choose the best design aligned with the expert knowledge and data-driven recommendations
Data Source
- 1.3M
Omics Data samplesA full spectrum of transcriptomics, genomics, epigenomics, proteomics, single-cell data generated by the scientific community - 15K
Clinical-stage
Compounds & BiologicsCompounds from Phase 1 to FDA-approved drugs - 3.2M
GrantsLife sciences research grant funding - 5.5M
PatentsPatents covering the life sciences industry - 998K
Clinical Trial RecordsExplore extra knowledge related
to the clinical trials design - 37M
PublicationsPublished biomedical research results
Collaborations
Prospective inClinico validation
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