Artificial Intelligence for Better Clinical Trial Prediction

The Clinical Trial Prediction (CTP) Engine Empowers your Decision-making

Predict-the-probability-of-clinical-trial-successPredict the probability of clinical trial success

Clinical-Trial-KPIsTrack clinical trial KPIs and identify critical path

Evaluate-investment-decisionsEvaluate investment decisions

Evaluate-MA-projectsEvaluate M&A projects

The CTP Engine leverages Advanced AI and Analytics Technology

Deep Learning

 

Advanced deep learning techniques trained on publicly available trial data and real-world events that are continuously crawled, aggregated, and analyzed by Innoplexus’ proprietary technology.

Neural Network

 

A neural network trained on various drug compound characteristics, clinical trial features, and sponsor track records, provides insights for optimizing study designs.

Real Time Analysis

 

Fully automated, continuous, and real time analysis enables Innoplexus to calculate predictions by accounting for new information which might impact a trial endpoint.

Leverage AI to Predict Clinical Trial Outcomes

 

There are a lot of statistics about drug development – and all of them show that the process is inefficient and expensive:

 

  • Pharma companies spend more than USD 1 Billion on developing a new drug
  • Drug candidates pass the clinical stage with a success rate as low as 10-15%
  • Of all US clinical studies, 86% fail to meet the recruitment targets on time
  • Dropout rates of clinical trials commonly range between 15-40%
  • Of failed trials, 57% show limited efficacy; poor statistical endpoints or underpowered samples

 

However, clinical trial failures can be modeled by applying Artificial Intelligence techniques on real-world, outside-trial, and biomedical data sets. Innoplexus’ Clinical Trial Prediction engine leverages advanced deep learning techniques trained on publicly available trial data as well as on real-world events that are continuously crawled, aggregated, and analyzed by our proprietary technology.

The CTP Engine serves various Stakeholders keen on the Prediction of Clinical Trial Outcomes

CROsCROs

PharmaPharma

DNABiotech

CTP helps CROs, pharma, and biotech companies to track clinical trial KPIs, optimize their clinical trial recruitment strategies, and mitigate operational and financial risks. CTP empowers companies to make the decisions and course corrections before obstacles delay a trial.

Investment ManagementInvestment Management

A pharma or biotech company’s stock performance depends heavily on the outcome of its pipeline. Prior knowledge of approval probability of a trial can help investors gain an edge!

Consulting-FirmsConsulting Firms

Over the last few years the number and volume of M&A transactions in the pharma industry increased.
CTP supports consulting firms to guide their clients through M&A decisions.

We connect more than 230 Attributes based on our Life Science Data Ocean

35M+

Publications

500K+

Clinical Trials

40K+

Gene Profiles

2.3M+

Grants

833K+

Congress Articles

11M+

Patents

73K+

Drug Profiles

681K+

Theses & Dissertation

  • World´s largest Life Science Ontology with 30M+ biomedical terms
  • Connecting drugs, indications, study design, trial information, patients, authors, and sponsors with real-world events
  • Structuring unstructured data
  • Real time predictions

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