BIG DATA IN CLINICAL TRIALS

Posted by:admin onJune 8, 2015

 

We will use predictive modeling of biological processes and drugs to accelerate computer aided drug discovery. Combining the molecular and clinical data, statistical tools will  help the pharma companies to identify new potential-candidate molecules which could be developed as safe and efficacious drugs.

Enhanced patient enrollment combining the data from the PHR, EHR, Social Media, HIS and Mobile phone interactions. Powerful text mining and data mining engines could be developed to analyse these data sources and identify suitable candidates that meet the inclusion and exclusion criteria.

All trials are monitored real time to identify frauds, non compliances, adverse events etc on a near to realtime basis. Risk based monitoring could be enables.

Centralized data sources which will combine all the data related to multiple geographically distributed trials into a centralized data source.

Pharmaceutical companies have started investing significantly in improving big-data analytical capabilities. The road ahead is indeed challenging, but the big-data opportunity in pharmaceutical R&D is real, and the rewards will be great for companies that succeed.

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Our Clients

Kreara serve clients of all scales and geographies. We have extensively worked in the US and European markets with specific focus on analytics and application solutions for Pharmaceutical, Financial and Retail Sectors. Recently we have also started to work with the government, helping them to analyse public data and visualise it in a very user friendly manner. We try and treat each of our clients as our only customer and work with them very closely to understand and cater to their requirements.

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