CLINICAL SUPPLY MANAGEMENT ARTICLES
How New Models Could Improve Trial Enrollment Forecasts
New statistical and machine learning models could make clinical trial enrollment forecasts more adaptive, helping teams account for uncertainty and changing site performance.
CLINICAL SUPPLY MANAGEMENT RESOURCES
-
While RTSM systems help reduce many of the risks in clinical trials, each trial’s unique setup necessitates a risk analysis to identify trial-specific challenges.
-
Determine the best IRT/RTSM design for your trial through consideration of the user, data collection, and future-proofing.
-
Master complex cell therapy logistics with coordinated depots, purpose-built labeling, and temperature-controlled solutions that protect product integrity.
-
This article explores how delivering cell and gene therapies to patients requires new levels of agility, flexibility and innovation in the logistical management of supply.
-
Data is the single most important thing in a clinical trial. Leverage the power of clinical trial data with effective utilization and access in a changing regulatory landscape.
-
What are the components of Randomization and Trial Supply Management (RTSM) and the critical role of RTSM and Interactive Response Technology (IRT) in clinical trials?
-
Flexible clinical development requires scalable infrastructure, strong project management, and global logistics to ensure supply continuity and regulatory compliance.