• Patient enrollment is cited as one of the most challenging aspects of clinical trials and it is one of the primary reasons that a clinical trial fails. Low patient recruitment and retention in clinical trials is one of the biggest challenges that Sponsors, CROs, and Sites must overcome. Clinical Trials predetermined period is longer than […]

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  • Effective monitoring of clinical trials by sponsors is crucial especially while conducting high-quality studies. Sponsors need to develop monitoring plans that manage important risks to human subjects and data quality and address the challenges of oversight in part by taking advantage of the innovations in modern clinical trials. Performing clinical studies using risk-based Monitoring (RBM) […]

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  • ADAPTIVE RANDOMIZATION

    Randomization in clinical trials is the process of ensuring that there is no bias while assigning treatments/therapies to group of patients. At Kreara, the randomization and blinding processes are carried out as per the standard operating procedures. Over the years of experience, it has been observed that traditional randomization approaches may not be suitable in […]

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  • IWRS FOR RANDOMIZATION

    “Zero Bias- All Random, No Bias” is a web based randomization application developed by Kreara for simple and effective randomization of Clinical Trials. Its flexible design comes with a preloaded list of Stratification variables. During system setup, we can select the required variables from the list. Then the randomization window will be automatically designed with […]

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  • BIG DATA IN CLINICAL TRIALS

    Let us first list down what is possible by deploying a big data solution for the CT industry. 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 […]

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  • APPLE RESEARCH KIT

    Apple ResearchKit is an open source software framework introduced by Apple that makes it easy for developers and researchers to create apps for medical research. This new framework takes advantage of the sensors and capabilities of iPhone to track movement, take measurements, and record data. Participants can perform activities and generate data wherever they are, […]

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