The next generation of clinical trials will be faster, more efficient, and produce higher quality patient outcomes.
From virtualization to machine learning, one thing is clear: technological transformation is necessary to rise to the challenge of increased trial complexity.
In this eBook, we outline how these modern technology strategies will help ease patient burdens, overcome process challenges, and simplify data complexity pressures to excel your next-generation trial execution.
With growing pressure to deliver drugs to market faster and at a lower cost, biopharma organizations are in a race to derive better insights from data and analytics. Often constrained by technology expertise, infrastructure, or liquidity, mid-sized...
Patient centricity is now at the forefront of drug development, from early understanding of Burden of Disease through to Comparative Effectiveness Research and the use of Real World Data to generate evidence on the patients’ perspective of...
For the first 125 years of medical imaging, technological advances focused primarily on new modes of imaging as we progressed from the discovery of the X-ray in 1895 to ultrasounds, MRIs, PET, and CT scans in the late 20th century. Now, arguably,...
This white paper explores the key issues faced in the trial design of the biopharma industry and highlights the large values of data, which are consistently lost, due to a lack of tools and experience. These issues result in the Feedback Loop,...
Biopharma organisations need to improve their chances of successfully launching new drugs. Poor organisational outcomes create a range of issues, which can be supported through Acorn AI's operational analytics in Intellignet Trials. This provides...