Clinical Trials

AI is Reshaping Clinical Trials From Data to Discovery.

The role of AI in clinical trials is evolving rapidly. With advanced large language models (LLMs), research teams can streamline data analysis, automate documentation, and design trials with enhanced precision. At Eliyahu.AI, we support teams in effectively integrating these advanced tools, ensuring AI complements—and does not replace—the essential expertise driving clinical research.

ImageCORE is an alias for a pioneering imaging Clinical Research Organization (iCRO) utilizing cutting-edge AI to accelerate drug development.

Eliyahu.AI partnered with ImageCORE to expedite their internal adoption of large language models. The AI-generated video above highlights several of the 36 applications explored, which are also detailed in the expandable list.

Drafted project plans and reports, crafted personalized emails and communications, enhanced SOPs and technical documentation, developed CAPA storyboards, prepared audit responses and meeting materials, updated training documentation.
Analyzed imaging data and improved protocols, conducted market research and competitor analysis, extracted insights from regulatory guidelines, evaluated clinical trial site feasibility.
Streamlined team communications with structured emails, crafted motivational team updates, prepared meeting agendas and presentations, drafted training session invitations.
Automated image analysis with Python scripts, generated system specifications from preliminary data, created automated checklists for project close-out, streamlined risk management processes.
Conducted financial analysis for strategic decisions, developed project timelines and milestones, created detailed product roadmaps, structured risk management action plans, designed cross-functional training schedules.
Explored protocol enhancements and best practices, generated ideas for product feature development, brainstormed strategies for process improvements, identified potential risks and compliance solutions.