The Top 5 Benefits: Outsourcing Expert Committee Management to an Independent Provider

Discover how streamlining patient screening can help accelerate clinical trials. Simplifying and improving the patient journey and optimized screening processes can help improve clinical trial efficiency and stakeholder experience.

This eBook will discuss three key ways that researchers can implement AI to address data challenges, improve patient safety and outcomes, and accelerate processes.

The sponsor’s clinical development team needed a flexible solution to quickly visualize patient and site data. Additionally, this solution would need to aggregate data into one “single source of truth” to inform better decision-making.

This white paper will explore the key challenges impacting clinical trial medical reviews from the perspective of Dr. Gareth Tomlinson, PhD, Director, Clinical Research Scientist at Taiho Oncology, Inc.

AI can be applied to patient data in real time, allowing medical reviewer teams to actively monitor patient safety, with the AI alerting medical review teams to identify potential adverse events (AEs), data anomalies, critical issues for patients on treatment, and more.

Introducing OpenBioLLM-Llama3-70B & 8B: Saama’s AI Research Lab Released the Most Openly Available Medical-Domain LLMs to Date