Most people in our industry are familiar with the “Leaky Funnel” analogy that describes the model where we approach a large number of patients for inclusion in a study, but they leak out of the pipe at every juncture. The loss of patients through planning, screening and execution of the …
Using data visualization tools on SEND datasets: a graph is worth a thousand data points
SEND [Standard for Exchange of Nonclinical Data] is more than just a tool to facilitate nonclinical data submissions to the FDA. SEND datasets are rich in information, albeit in a form that’s time-consuming for non-experts to parse. With the right visualization tools, SEND data sets can inform nonclinical programs and …
What’s changing in SEND 3.1?
The SEND [Standard for Exchange of Nonclinical Data] Implementation Guide v3.1, “SEND 3.1,” changes the model for the reporting of cardiovascular and respiratory endpoints. SEND 3.1 became effective 15 March 2019 for NDA/BLA submissions; and it will become effective 15 March 2020 for IND submissions, overlapping with the effective period of the previous version, …
Mining real-world data with cutting-edge analytical tools: helping to achieve patient recruitment targets
In 1848, the most famous Gold Rush in American history began at Sutter’s Mill near present-day Coloma, California, shaping the US economic map forever. In those days, there were no scientific tools to guide prospectors in their search. Sites of previous finds were the starting point for what became, for …
PK/PD Modeling and Simulation – A Brief Overview and Upcoming Blog Series
The year I graduated from college was the same year an old family friend was retiring. He had spent the majority of his career designing and deploying farm equipment across the United States. When I asked for advice as I entered the workforce he told me a story. Three months …
5 Things to Know About the Evolving Requirements For SEND
As our industry approaches the one year anniversary of the implementation of SEND (Standard for the Exchange of Nonclinical Data) datasets as required by the FDA for regulatory submissions, attention is shifting to the next set of requirements. From recent notices to upcoming compliance dates, we’ve compiled five key highlights …
A Practical Business Approach to Data Management for Clinical Trial Efficiency
Today’s clinical trials have become more complex and expensive, pressuring pharmaceutical companies to further improve their clinical trial operations. Clinical trial data management is one area where both sponsors and contract research organizations (CROs) can uncover new efficiencies, increase cost-saving measures and better meet diverse operational reporting needs across the …