White Papers, Case Studies, Reports
The age of agentic A complete guide on agents in clinical trials
A complete guide to AI agents in clinical trials, includingwhat they are, the infrastructure they need, where people stay in charge, and how to start. Discover how agentic AI is transforming clinical trials, and what's next. And, learn about ontologies, human-in-the-loop governance, build vs. buy, continuous validation/governance, and more.
Is data readiness slowing down AI in clinical trials? How agentic AI enables immediate impact
Clinical data doesn't need to be perfect for AI to deliver value. Learn a practical framework for deploying agentic AI in clinical trials today.
Ensuring clinical trial agent performance with continuous governance
According to seven different market research organizations, the “Agentic AI in clinical trials market” is expected to grow at a compound annual growth rate (CAGR) of anywhere between 12.5% to 43%. While the estimates obviously vary depending on who you ask, one thing remains crystal clear, agentic AI in clinical trials isn’t slowing down. As sponsors and CROs increasingly implement artificial intelligence, many organizations approaching clinical AI face real anxiety about the clinical trustworthiness of AI.
A results-focused look at cardiometabolic trials at Medable
With GLP-1 therapies reshaping the competitive landscape, sponsors need speed to first patient, portfolio consistency, and adherence that holds up over years, not weeks. See how five sponsors/CROs got there with Medable.
Building a scalable oncology engine in a dynamic market
Learn how a top-10 global pharmaceutical company partnered with Medable to rapidly expand the number of oncology trials it could concurrently conduct.
From three meetings to one removing bottlenecks with AI-enabled eCOA
Discover how AI-enabled eCOA and agentic workflows reduce clinical trial startup time, translation cycles, and meeting overhead—cutting eCOA build timelines from 16–20 weeks to under 8 weeks.
Case study: Scaling global vaccine mega-trials for a top-5 pharma
Learn how Medable enabled a top-5 pharma to scale vaccine mega-trials with near-100% enrollment, real-time safety data, and >90% diary compliance.
Case study: ICON and Medable drive 85% eConsent adoption in U.S. menopause study
How do you drive adoption in a complex women’s health study? See how ICON and Medable reached 85% eConsent uptake across 1,200+ participants with a smarter, site-first approach.
Medable oncology solutions
Discover how Medable’s AI-powered oncology platform simplifies complex cancer trials by integrating eCOA, ePRO, and eConsent solutions—reducing trial time, improving patient retention, and enhancing data quality for faster, more efficient research.
Case study: Driving a high-adherence LTFU trial without an EDC
Learn how Medable is powering a decade-long, global long-term follow-up (LTFU) obesity study, achieving an impressive 97% patient retention rate without using a traditional EDC system all while delivering a compliant, scalable, and cost-efficient solution.
Eliminate clinical trial white space with the right AI strategy
It has become clear that our industry has reachedthe limits of human-only clinical development. As clinical trials have become increasingly complex, the endeavors that people alone can perform are no longer sufficient to generate the momentum needed to address the growing burden of human disease. This has led to longer drug development timelines and significant delays for patients. One large are of lost time is “white space,” definied simply as unproductive time caused by manual, sequential processes and fragmented data systems. Thankfully, a solution lies in agentic AI and its abilities to perform series of tasks.
Roadmap to adopting AI agents
The successful integration of AI agents in enterprise operations requires a balanced, deliberate approach. Drawing from recent research in Strategic Integration (SI) and agentic AI adoption within large enterprises, the following best practices help maximize value, manage change effectively, and mitigate common pitfalls. Medable Agent Studio specifically streamlines this process by providing robust tools, no-code simplicity, and built-in compliance and security standards.
Guidance for using AI agents effectively
AI agents can play a range of roles, from acting as intelligent collaborators alongside people to independently executing entire workflows. Rooted in the principles of agentic AI, they excel at reasoning through problems, self-directing activities, and adapting to evolving contexts. Whether deployed to support individuals or to autonomously carry out operational tasks, agents enhance productivity, decision-making, and overall efficiency across a broad spectrum of use cases.