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Ryght AI's Pioneering Webinar on AI in Clinical Trials

On March 24, 2026, at 9 AM PST, Ryght AI will host an informative webinar in collaboration with Microsoft, titled "From Synopsis to Shortlist: How a Global CRO Compressed 6 Months of Site Selection into 26 Days." This session promises to revolutionize how clinical trials approach site selection, showcasing real-world evidence of AI technology's capabilities in streamlining operations.

Ryght AI is recognized for its innovative platform that specializes in clinical trial site selection, feasibility assessments, and study operations. The upcoming webinar is centered around a compelling case study from a leading global Contract Research Organization (CRO) that tackled the daunting task of identifying oncology research sites. Typically a drawn-out process, the CRO managed to cut down a six-month endeavor to just 26 days, discovering 43 qualified centers instead of the anticipated 13.

The Challenge of Traditional Site Selection
Site selection and feasibility are historically the most labor-intensive and time-consuming aspects of initiating clinical trials. Challenges multiply when narrow eligibility criteria and specialized requirements for research sites are in play. The old-fashioned methods that involve manual outreach and tracking through spreadsheets can result in a timeline stretching over three to six months, leading to delays in patient access to new treatments and increased study costs.

This case study exemplifies what is achievable when bottlenecks are eradicated. In this particular instance, the global CRO was under pressure to complete a Phase Ib/II first-in-human oncology trial. With the pressing timeline and increasingly complex site requirements, they leveraged Ryght AI's sophisticated tools to complete the site identification and feasibility outreach in record time.

Insights from the Live Webinar
Participants in the webinar will gain insights into the innovative AI solutions that facilitated this impressive outcome. They will explore the following critical aspects:

• - AI-Powered Protocol Analysis: Discover how Ryght's Network Navigator processed the study protocols to identify essential requirements and matched them against a global database of over 60,000 AI Site Twins.
• - AI Site Twin Analysis: Understand how Ryght's AI evaluated extensive digital profiles of research sites worldwide, evaluating them based on data from more than 450,000 trials and 145,000 principal investigators.
• - Automated Feasibility Outreach: Learn about the automation of the outreach process, which achieved an impressive bounce rate of under 2% and an engagement rate of nearly 90% across contacted sites.
• - Management of a 26-Day Timeline: Analyze how the entire process—from protocol upload to the finalization of qualified sites—was accomplished in just 26 days. Notably, the first completed feasibility questionnaire was returned merely 35 minutes after the initial outreach was executed.
• - Business Impact: Assess the implications of these processes on lead times, budgets, bargaining power, and operational efficiencies for future trials.

Who Will Be Speaking?
The session will feature esteemed speakers, including:

• - Simon Arkell, CEO and Co-Founder of Ryght AI, will provide context to the case study and discuss the integral AI platform.
• - Sara Dada, VP of Product at Ryght AI, will dive deeper into the practical applications of the Network Navigator and Feasibility Accelerator.
• - Rashmi Gupta, Global Senior Director of Sales for Pharmaceutical Life Sciences at Microsoft, will share insights on the evolving role of AI in clinical trial operations and its effects on sponsors and CROs.

Registration Details
Attendance for the webinar is free, and those interested can register at this link. If you cannot attend live, an on-demand recording will be made available to all registrants after the event.

About Ryght AI
Ryght AI is making waves in the clinical trials sector, revolutionizing trial timelines through its advanced intelligent platform, which is built around AI Site Twins—dynamic models that represent every clinical research site globally. By facilitating quicker site selection and streamlining feasibility processes with the power of generative and agentic AI, Ryght AI enhances communication among sponsors, CROs, and research locations. Discover more about their innovative solutions at www.ryght.ai.