Obesity Is More Than Weight: Practical Approaches to Managing Comorbidities in Clinical Research

In this Q&A, Kent Thoelke, CEO of Paradigm Health, discusses why participation gaps in community and rural settings come down to both patient cost barriers and site infrastructure, how legacy workflows weigh on community clinics, and what policy and technology changes it would take to make clinical research a real care option for more patients.

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 this video interview, James Cheong, senior vice president of Asia Pacific at Precision for Medicine, outlines why faster recruitment, local data requirements for registration, and lower costs make APAC attractive for global Phase III programs.

Community participation gaps look less like a question of patient willingness and more like a financing and infrastructure problem that no single bill has yet solved.

In this video interview, Kent Thoelke, CEO of Paradigm Health, explains why patient cost barriers and site infrastructure challenges must be solved together to close the participation gap in community and rural clinical trials.

Standardized measurement across five oncology centers found that clinical research coordinators rated eSource-enabled workflows positively (Overall Mean Satisfaction 5.79 of 7), with reduced manual entry and electronic data transfer earning strong marks, while perceived reduction in sponsor and monitor queries lagged as the one domain below threshold.

A pivotal trial that missed its primary endpoint became the basis for a successful redesign after the team used the data to define the high-risk patients most likely to benefit, showing that setbacks can strengthen development when organizations interrogate the evidence rather than abandon it.

AI can draft a CSR in minutes, but the report only reflects evidence that has already converged, so faster drafting shifts the bottleneck to upstream reconciliation, database-lock readiness, and human accountability rather than shortening the trial itself.