|
|
|
Dear %%=ProperCase(FirstName)=%%,
Thank you for your interest in Applied Clinical Trials' content series, Ensuring Data Quality in a Complex Trial Landscape.
If you are interested in learning more about this topic, we invite you to access the following resources.
|
|
|
|
From Data Management to Data Science
Changes are occurring to how clinical trials are conducted - where once the focus centered on electronic data capture, now data ingestion of any source, from anywhere, in any condition, in real-time, is imperative.
A new data strategy integrating data science expertise with Artificial Intelligence / Machine Learning (AI/ML) driven predictive and prescriptive insights can help research teams cut the time and cost of clinical trials while accelerating new drugs to market.
Read this white paper to learn how an AI/ML data strategy for life sciences
can deliver better business outcomes.
Download Whitepaper
|
|
|
|
|
|
Clinical Data
Analytics Suite
Learn how to orchestrate better outcomes with a single source
of truth for all study-related data.
Read this fact sheet explaining how you can generate new insights with the IQVIA Technologies Clinical Data Analytics Suite (CDAS) to accelerate your clinical research. This robust platform offers scalable, flexible solutions driven by AI/ML capabilities, helping you move away from disconnected point solutions and gain greater value from the increasing volume, variety and velocity of data across your organization. CDAS is a core component of the IQVIA Technologies Orchestrated Clinical Trials (OCT), the end-to-end, patient-centric platform that provides an unparalleled data infrastructure, seamless connectivity and intuitive design to drive smarter, faster trials.
Download Fact Sheet
|
|
|
|
|
|
Sponsored by:
|
|
|
|
