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 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.
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.
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.
Sequoia’s Dan White and Dr. Tom Kreamer touch on why sponsors and CROs should treat a site network as one centralized partnerto speed startup timelines and strengthen execution.
Sequoia Clinical Research’s CEO Dan White and CMO, Dr. Tom Kreamer explain what it takes to merge three site organizations into one network.
Javara CEO Jennifer Byrne talks about the requirements for embedding clinical trials directly into physician practices and why solving the “last mile” of trial participation means building infrastructure at the actual point of care.
Trially CEO Kyle McAllister explains why transparent AI reasoning is essential for trial patient matching.
Trially Co-founder and CEO Kyle McAllister, explains how AI absorbing the bulk of clinical-trial chart reviews can free research sites to focus staff time on higher-value tasks.
In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, explains why the shift from narrow AI tools to a continuous learning clinical operating system is where the real operational value lies—and what it takes to get there.
In this video interview, Saamir Pasha and Carole Berini, PhD, of Ontada, identify three persistent obstacles to consistent real-world evidence generation in oncology—inconsistent data capture, structural data limitations that modeling alone can't fix, and the need for earned generalizability through deliberate multi-site validation.
In this video interview, Saamir Pasha and Carole Berini, PhD, of Ontada, describe what operationalizing regulatory-grade quality frameworks requires—and why fit-for-purpose evidence generation is a transparency and documentation discipline, not just a data cleanliness exercise.
In this video interview, Carole Berini, PhD, of Ontada, explains how validated proxies for variables like ECOG performance status can recover not just sample size but the representativeness of hard-to-reach patient populations in real-world oncology studies.
In this video interview, Saamir Pasha and Carole Berini, PhD, of Ontada, explain how building trust into the data foundation—through source lineage, standardization, and reconciliation—is what makes reliable real-world evidence generation in oncology possible.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, offers practical guidance for clinical operations teams beginning their AI journey—making the case that the tools are more accessible than many assume and that waiting to start is a competitive risk in itself.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, explains how AI is shifting trial risk management from reactive to proactive—enabling sponsors to pressure-test protocols and anticipate pivots before a single patient is enrolled.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, makes the case for AI as a sophisticated strategic advisor in trial design while arguing that humans must remain in the lead—especially when factors the model can't fully account for are at stake.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, explains why combining analog trial performance data with real-world patient data and site-level recruitment history gives sponsors a far more honest picture of whether their enrollment assumptions are actually achievable.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, walks through the categories of hidden protocol risk that AI-driven simulations can identify—from overly restrictive eligibility criteria to patient dropout patterns and structural trial assumptions.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, explains how AI is expanding endpoint selection beyond the bounded experience of a single sponsor team—and surfacing options that traditional design thinking might never have considered.
In a video interview prior to the 2026 DPHARM conference, Andrea Valente, CEO of uMotif, explains why truly understanding the patient journey from beginning to end—and building that understanding into both study design and data collection tools—remains one of the industry's most important unfinished tasks.
In a video interview prior to the 2026 DPHARM conference, Andrea Valente, CEO of uMotif, explains why the real technology challenge isn't usability alone—it's making it easier for patients and sites to interact more effectively with each other.
In a video interview prior to the 2026 DPHARM conference, Andrea Valente, CEO of uMotif, shares what she expects to be at the center of the conversation—from building trust between patients and sites to where AI may and may not have a role in that relationship.
In this video interview, Amélie Lothe, global medical community head for rare epilepsies at UCB Pharma, outlines what it takes to move beyond transactional engagement and treat patient advocacy organizations as long-term partners in the science and the care.
