Ten agent workflows for the Clinical Research team — automated clinical trial landscape monitoring, CRO digital footprint analysis, research institution tracking, therapeutic area competitive intelligence, investigator site assessment, protocol design benchmarking, enrollment prediction modeling, endpoint analysis, publication monitoring, and regulatory pathway intelligence — providing comprehensive domain-level clinical research signals.
AI agent continuously monitors CRO, sponsor, and research institution websites to detect new trial announcements, protocol changes, enrollment status updates, and competitive trial activity across therapeutic areas.
AI agent evaluates Contract Research Organization capabilities by analyzing their complete digital presence — service pages, case studies, leadership profiles, and geographic reach — to support vendor selection and due diligence.
AI agent monitors academic medical centers, university hospitals, and research institutes to identify potential investigator sites, emerging research capabilities, and collaboration opportunities based on their digital presence.
AI agent maps the competitive landscape within specific therapeutic areas by analyzing competitor pipelines, publication patterns, conference presentations, and strategic positioning across sponsor and biotech domains.
AI agent evaluates potential clinical trial investigator sites by analyzing hospital system digital presence, research capabilities, patient population indicators, and operational readiness signals from their web properties.
AI agent analyzes competitor trial designs, endpoint selections, and inclusion criteria by monitoring sponsor websites, CRO case studies, and regulatory guidance pages to inform optimal protocol development.
AI agent tracks enrollment velocity indicators across investigator sites, patient advocacy organizations, and referring physician networks to predict enrollment timelines and identify recruitment bottlenecks early.
AI agent tracks key opinion leader activity, publication patterns, and conference presentations by monitoring academic institution websites, medical journal domains, and professional society pages for research intelligence.
AI agent monitors FDA, EMA, and global regulatory authority websites along with regulatory consulting firm domains to track guidance changes, approval trends, and pathway optimization opportunities for clinical development programs.
AI agent monitors patient advocacy organizations, health literacy platforms, and real-world evidence data sources to understand patient perspectives, unmet needs, and disease burden signals that inform clinical trial design and regulatory strategy.
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