Considerations for Using eTools in Research: Part 11 & System Validation

In this Q&A, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, discusses what changes when AI is embedded across protocol strategy, data infrastructure, and workflow tools at once, where governance frameworks tend to fall short, and why CROs must orchestrate AI ecosystems rather than simply aggregate them.

In today’s ACT Brief, we examine what policy changes would help community and rural institutions join research, how Walmart is expanding clinical trial centers into three more states, and how FDA approved Ilumya for adults with active psoriatic arthritis.

The planned sites in Livonia, Las Vegas, and San Antonio would expand a partnership that places clinical research and health screenings inside Walmart stores.

In this video interview, Kent Thoelke, CEO of Paradigm Health, calls for safe harbor protections, CMS reimbursement safeguards, and funding mechanisms modeled on EHR meaningful use to help community and rural institutions participate in research on par with academic centers.

In today’s ACT Brief, we examine why community and rural patients lack access to research as a care option, what makes AI assistants trustworthy in regulated trials, and how FDA draft guidance could let gene editing therapies cover patient-specific variants.

In this Q&A, E.K. Koh, chief product officer at Suvoda, discusses what separates a trustworthy AI assistant from one that adds risk, why curated clinical knowledge matters more than general-purpose flexibility, and what safeguards must be in place when assistants move from answering questions to taking actions in clinical trial systems.

In this video interview, Kent Thoelke, CEO of Paradigm Health, explains why patients in community and rural settings too often lack access to clinical research as a care option, and how closing that gap could improve outcomes and lower long-term costs.

In today’s ACT Brief, we examine why anti-kickback guidance and EHR-integrated trial matching must work together in community settings, why real-time trials depend on mature risk-based quality management, and how pharma is applying digital clones to predict outcomes.