New Paper Makes the Case for AI-Specific Guidance in Research Oversight
AI is becoming a routine part of how research proposals are prepared and reviewed, from drafting applications to supporting administrative
AI is becoming a routine part of how research proposals are prepared and reviewed, from drafting applications to supporting administrative
Traditional clinical trial designs often delay progress due to rigid protocols and frequent amendments. Adaptive and platform trial models introduce flexibility and shared infrastructure, reducing startup delays, cutting costs, and enabling sponsors to conduct faster, more efficient research.Â
Our webinar discusses key near-term trends and regulations and investigate persistent challenges frequently throwing even the most efficient teams off track. Advarra and industry representatives will dive deeper into achieving critical milestones across study startup, conduct, and close out that every project manager should optimize.
Traditional clinical trial designs often delay progress due to rigid protocols and frequent amendments. Adaptive and platform trial models introduce flexibility and shared infrastructure, reducing startup delays, cutting costs, and enabling sponsors to conduct faster, more efficient research.Â
Traditional clinical trial designs often delay progress due to rigid protocols and frequent amendments. Adaptive and platform trial models introduce flexibility and shared infrastructure, reducing startup delays, cutting costs, and enabling sponsors to conduct faster, more efficient research.Â
Traditional clinical trial designs often delay progress due to rigid protocols and frequent amendments. Adaptive and platform trial models introduce flexibility and shared infrastructure, reducing startup delays, cutting costs, and enabling sponsors to conduct faster, more efficient research.Â
Traditional clinical trial designs often delay progress due to rigid protocols and frequent amendments. Adaptive and platform trial models introduce flexibility and shared infrastructure, reducing startup delays, cutting costs, and enabling sponsors to conduct faster, more efficient research.Â
Traditional clinical trial designs often delay progress due to rigid protocols and frequent amendments. Adaptive and platform trial models introduce flexibility and shared infrastructure, reducing startup delays, cutting costs, and enabling sponsors to conduct faster, more efficient research.Â
Over the past 14 years, Anna Carnevale, associate director of client services at Advarra, has seen her team grow from
Now that FDA has published the ICH E6(R3) Good Clinical Practice (GCP) guidance, aligning early with these requirements can prepare organizations for the future. ICH E6(R3) encourages ethics review committees to more intelligently apply their resources by enhancing efficiency without compromising participant safety or data integrity particularly regarding continuing review, informed consent, decentralized logistics, and data governance. Sponsors partnering with Advarra can be confident that their studies remain regulation-ready on both sides of the border today and E6(R3)-ready for tomorrow.
The U.S. Food and Drug Administration’s (FDA’s) recent draft guidance, “Considerations for the Use of Artificial Intelligence to Support Regulatory
Advarra partnered with PreHealth, a brand growth and experience agency, to create Braid, the identity for Advarra’s data and AI