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
Clinical risk assessment and portfolio triage
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
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:
find clinical catalysts that drive pharmaceutical growth, sort them by the PoS, and research the designs of successful trials
Clinical Trial Outcome Scores: the ability to analyze performance for individual trials with simple data-driven metrics for the PoS
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
Database of historical and ongoing clinical trials:
find clinical catalysts that drive pharmaceutical growth, sort them by the PoS, and research the designs of successful trials
Clinical Trial Outcome Scores: the ability to analyze performance for individual trials with simple data-driven metrics for the PoS
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 1.0 Nostradamus
Main Features
Customer profiles & Use cases
Pharmaceutical portfolio de-risking
Competitive
analysis
analysis
Technical due diligence for Mergers and Acquisitions, licensing and partnerships
BD&L executives
at pharma companies
at pharma companies
Research on general red flags
Post-mortem analysis on failed project for possible revival
AI-augmented trial design — endpoints, sites, eligibility
Clinical researchers
& developers
& developers
Investment portfolio de-risking
Search for the assets to invest in
Buy-side analysts
at pharma-focused funds
at pharma-focused funds
inClinico for therapeutic pipeline due diligence
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
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
Advanced AI modelling platform powered by multimodal data
Probabilities of success based on different modalities
Granular interpretation of the predictions
Industry-wide success rate analysis
Granular interpretation of the predictions
Industry-wide success rate analysis
Individual clinical trial reports
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
Report covers clinical trial sponsors with details on their financials
Leverage derived probabilities and estimate NPV more precisely to inform licensing and investment decisions
Summary report with benchmarked pharmaceutical catalysts
inClinico for the clinical trial design enhancement
Trial structure — blinding, randomization and cohorts
Patient eligibility criteria
Endpoints
Clinical site information
Patient eligibility criteria
Endpoints
Clinical site information
inClinico extracts meaningful
representations from clinical trial protocol
representations from clinical trial protocol
Which details were the most important
for the model prediction
Exact quantified influence of the each
feature as well as feature groups
for the model prediction
Exact quantified influence of the each
feature as well as feature groups
Get interactive report on the clinical protocol details impact
Simulate alternative designs and get detailed reports
Choose the best design aligned with the expert knowledge and data-driven recommendations
Choose the best design aligned with the expert knowledge and data-driven recommendations
Get actionable insights into how to change the clinical protocol to improve the probability of success
Data Source
5M OMICs data samplesA full spectrum of transcriptomics, genomics, epigenomics, proteomics, single cell data
generated by the scientific community
30M PublicationsPublished biomedical research results
3M GrantsLife sciences research grant funding
3.8M PatentsPatents covering the life sciences industry.
342K Clinical TrialsExplore extra knowledge related to the clinical trials design
13K DrugsDrugs from Phase 1 of clinical trial
till Launched phase
News
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