Operationalize AI in Clinical Trials and Prove Real Outcomes
AI only drives ROI when it’s built for real clinical operations, not isolated pilots, dashboards that gather dust, or unchecked black boxes. Meet us at SCOPE in Orlando from February 2-5 and see how Turing can help your organization deliver real outcomes in pharma.






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Challenges in clinical development AI
Across the industry, teams are investing in AI, but many initiatives stall before they deliver outcomes. Common barriers include:
- Pilot projects without operational anchors
- Siloed tools that don’t integrate with clinical workflows
- Lack of standards and interoperable data
- Insufficient evaluation and governance mechanisms
- Regulatory and compliance risk concern
- EMR data harmonization
AI for trials only succeeds when it’s connected to real workflows and measurable results.
Turing capabilities across clinical trial use cases
Drawing from hands-on experience with frontier AI labs, Turing helps clinical trial leaders embed fit-for-purpose AI into end-to-end workflows with governance, evaluation, and measurable outcomes.
What we enable: complexity scoring, feasibility signals, amendment trigger detection
Outcome: fewer amendments, faster startup, less rework
What we enable: criteria parsing, candidate ranking, inclusion/exclusion rationale
Outcome: faster screening, improved enrollment velocity, fewer screen failures, optimized cohort composition
What we enable: AE detection, case triage, structured outputs for review
Outcome: faster time-to-detection, reduced manual load, improved consistency
What we enable: document classification, extraction, QC scoring, exception handling
Outcome: cycle-time reduction, fewer downstream errors, audit-ready workflows
What we enable: normalization pipelines, validation rules, anomaly detection
Outcome: improved data quality, faster downstream analysis, fewer reconciliation issues
What we enable: risk detection, site prioritization, action routing, escalation workflows
Outcome: faster issue resolution, improved oversight efficiency, reduced operational risk
What we enable: site ranking, feasibility workflows, startup delay prediction
Outcome: better-performing sites, faster activation, fewer late-stage surprises
What we enable: wearable monitoring, adherence risk detection, escalation paths
Outcome: improved retention, fewer deviations, stronger data integrity
What we enable: SCA construction support, digital twin inputs, scenario modeling
Outcome: faster decisions, improved efficiency, stronger evidence strategy
What we enable: genomic/proteomic signal mining, cohort stratification workflows
Outcome: faster insight generation, improved targeting, better trial success probability
What we enable: evaluation across accuracy/quality/reasoning, benchmarking, audit trails
Outcome: reduced compliance risk, higher reliability, safer deployment
What we enable: orchestration, confidence-based escalation, controlled automation
Outcome: reduced tool sprawl, faster execution, consistent operations
How AI leaders achieve measurable ROI with Turing
We work at the intersection of frontier lab advancement and enterprise deployment, turning cutting-edge technology into real-world results. Drawing from our work with leading AI labs, we design, deploy, and govern AI systems that deliver measurable results while meeting enterprise requirements for safety, accountability, and control.
AI in Pharma Resources
Stay updated with perspectives on AI implementation, governance, and real-world outcomes.



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