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Aardvark Shares Data From Stopped Prader-Willi Trial as FDA Lifts Hold

Clinical Trials Do Not Have a Data Problem, They Have a Decision-Readiness Problem

ACT Brief: Orchestrated AI Clinical Environments, eSource Coordinator Satisfaction, and Faster Clinical Trials Act

Bipartisan Bill Would Build Reusable Clinical Trial Networks, With a Focus on Rare Disease

Building Standardized Evidence for eSource-Enabled Clinical Trials: Multi-Site Validation of a Clinical Research Coordinator Satisfaction Methodology

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In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, describes the industry’s trajectory toward a unified intelligence orchestration environment—and explains why the future isn’t one model that knows everything, but a trusted system that brings the right evidence to the right human decision.

In today’s ACT Brief, we examine how sites can avoid both fear-driven and overly aggressive AI adoption, why community-based research needs sustained financial investment, and why patient access matters more than organizational size.

Pacing obesity trial enrollment, anchoring eligibility to stable real-world therapies, and building site and physician relationships improve retention and data quality more than aggressive recruitment or restrictive exclusion criteria do.

In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, argues that CROs must act as orchestrators rather than aggregators—and that the real test of any AI ecosystem is whether it reduces sponsor coordination burden or just hands it back to them.

Syneos Health and Optum outline a joint model for trial planning, recruitment and site access, with no financial terms or timelines disclosed.

AstraZeneca and Oracle Outline AI Collaboration for Clinical Trial Recruitment and Safety Monitoring
What sponsors and sites should know about the AstraZeneca-Oracle AI collaboration on trial recruitment, safety monitoring and data governance.

In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, identifies three recurring failure modes in AI governance frameworks—and explains why responsible AI must be an ongoing operating discipline, not a one-time approval gate.

CRIO’s chief innovation officer, Mike Wenger touches on the two ways sites get AI adoption wrong.

CRIO’s Mike Wenger, speaker at this year's SCRS summit, maps how sites are actually deploying AI post-pilot stage.

In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, explains why the real advantage of faster data isn’t speed—it’s shortening the distance between signals, human judgment, and the next best action.

In today’s ACT Brief, we examine how AI is moving into continuous clinical operating models, how trust is built into oncology real-world evidence, and how the FDA approved a self-administered option for thyroid eye disease.

Paradigm’s Kurt Mussina discusses why scale should drive operational efficiency, not consolidation into single-site studies.

Paradigm’s Kurt Mussina touches on why he rejects the “site management organization” model in favor of one unified business.

ProofPilot’s Lauren Briggs talks on why sponsors and CROs fail at tech rollouts by skipping change management, and pushes for the industry to judge trial technology by real workflow impact rather than feature checklists.

ProofPilot’s Lauren Briggs touches on why site tech adoption hinges on the first 90 days after rollout, and why tools succeed only when they remove work from a site’s plate rather than adding another login to juggle.
























