Central Laboratories Applications & Studies
-
Optimizing Data Services For Digital Trials With A Clinical Data Cloud
2/6/2023
Learn how internal processes and comprehensive clinical data services for digital trials can be improved through the utilization of data clouds.
-
Digital/Hybrid Trials Deliver Greater ROI Than Traditional Trials
2/2/2023
In this paper, Tufts CSDD outlines why and how modernized clinical trials can drive greater savings (up to $40,000,000 per study) than traditional trials.
-
Maximizing Efficiency In Data Management Services In A Breast Cancer Study
1/13/2023
Learn how database validation, database lock, and the development of the electronic CRF were used in a HER2-positive operable breast cancer study.
-
Trial Rescue: Site Selection And Prioritization
12/16/2022
A large pharmaceutical company was looking to validate its list of 100+ US sites for a chronic auto-immune disease study. Leveraging medical claims data, a site-level analysis was conducted to identify relevant patients meeting the trial’s I/E criteria.
-
Preparing Data Packages For Regulatory Submission
12/9/2022
Gain insight into how a dermatology-specialized European CRO joined forces to carry out interim statistical analysis in its study on seven subjects and prepared necessary data packages for regulatory submission.
-
Medicenna Gains Precedent-Setting FDA Approval
12/8/2022
Learn how Medicenna was able to leverage Synthetic Control Arm (SCA) to bolster Phase 2 findings and gain FDA approval to design a hybrid external control arm for their Phase 3 registrational trial.
-
Preparing A New Drug Application (NDA) With A CDISC Conversion
9/21/2022
Regulatory submissions are the most critical milestones in clinical research programs. Learn how quality submissions can accelerate time to market, maximize research investments and bring the benefit of new treatments to patients sooner.
-
Regulatory Approval For Novel Device Achieved With Comprehensive Clinical Data Management
9/21/2022
Find out how data capture and management activities, programming, and medical writing for a clinical study report were supported to solve the major diagnostic challenge of distinguishing between bacterial and viral infections.
-
Automated Data Capture To Train An AI Algorithm With eSource
9/20/2022
Explore why an AI algorithm needs a steady and significant stream of data to become more accurate and prove its efficacy in a clinical setting.
-
Improving Enrollment With Better Data
7/20/2022
The industry hasn't realized the potential of information collected in clinical trials every day. Explore a solution that's changing how data is used to advance clinical trial recruitment and enrollment.