Egnyte Releases Life Science Data Management Trends Report
Egnyte commissioned GatePoint Research to query 152 executives in Regulatory Affairs, R&D, Clinical and Quality about the challenges facing data-driven, mission-critical companies as they try to maintain GxP compliance, specifically around data integrity and data privacy and security.
The report looks at how the biotechs efficiently and securely manage collaboration and data and unveils some interesting results. One of the findings is that the most popular applications used to manage regulated data are not designed for life sciences specifically. In such a specialized field, this can lead to trouble.
Another finding the report points to is a divide developing amongst life scenes organizations. There are technology adopters and there are organizations that still operate from manual processes leading to friction in collaborating with partners and difficulty maintaining compliance with regulations.
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.
