This article will discuss some of the potential use cases that Standard for Exchange of Nonclinical Data (SEND), datasets can support. Both to advance translational research across multiple research sites and also to drive efficiencies with research partners including contract research organisations (CROs).
As yesterday’s lead molecule enters today’s clinical trial, the standard operating script seems to call for product developers and clinicians to push away the originating basic scientists, lest their lofty impractical ideals disrupt a delicate balance of strategic compromise.
Imaging has long been indispensable in clinical practice, and researchers have for many years used the same toolbox of imaging modalities as a component of their preclinical and drug development work.
The recent high-profile translational failures in mouse models have highlighted the need for more relevant animal models. Advances in gene editing tools, including the CRISPR/Cas9 system, have enabled the modification of highly translational organisms such as rats and rabbits, and have also greatly reduced model development timelines.
It is now readily accepted that we are in a post genomic era. With the steady flow of genomic information available to researchers worldwide, the focus turns to ways to analyse this information effectively and then utilise it in a practical manner.
In vivo imaging of small animals (mainly mice) is increasingly being deployed across the drug development process, particularly in the oncology/cancer therapeutic area.
During the 20th century, medical research has observed enormous advances in basic science discovery, highlighted by the sequencing of the human genome.