In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, makes the case for moving beyond trial-by-trial planning toward cross-asset site partnerships—and explains why sites are three times more likely to share patient data when sponsors make that shift.
In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, explains why asking sites to use different technology for every sponsor remains a major barrier to AI adoption and what a site-first approach to technology development looks like in practice.
In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, shares results from a Sanofi COPD study where AI-enabled sites screened patients 33% faster and achieved 100% enrollment success—including one site that had been non-performing for over 100 days.
In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, explains how AI is replacing unreliable feasibility estimates with precise, real-time patient matching—and what that means for reducing non-enrolling sites and screen failure rates.
In this video compilation, industry experts share their perspectives on the operational, technological, and methodological shifts defining clinical research in 2026.
At SCOPE Summit 2026, site leaders shared how AI is transforming feasibility, patient identification, and enrollment strategies, enabling research sites to boost performance, strengthen sponsor relationships, and deliver more precise, patient-centered clinical trials.
See what will distinguish sponsors that scale AI into core operations from those stuck in experimentation, and why redesigning underlying processes—not just optimizing workflows—is critical to realizing long-term value.
Examine the strategies community research sites can use to secure trial opportunities, from adopting AI-enabled workflows to proving verified access to underrepresented patient populations.
Learn how real-time patient eligibility data is reshaping trial planning and site selection, allowing sponsors to design more inclusive studies based on current patient reality rather than past performance.
Unpack how rising competition for the same high-profile sites is slowing startup and enrollment—and what sponsors must change in their site strategies to ensure AI-enabled efficiencies translate into real-world impact.
Explore how sponsors can recalibrate efficiency efforts to avoid overconcentrating trials at familiar sites and instead expand access through community partnerships, point-of-care research, and intentional outreach models.
The first step is admitting there's a problem, now what will the industry do about it?
January 12th 2026
