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Trials.AI

AI-driven clinical trial optimization for protocol design, data extraction, and real-time decision-making.

Solution by ZS
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Overview

ZS Trials.ai is an end-to-end AI-powered platform designed to revolutionize clinical trials for pharmaceutical and biotech sponsors. Built on patented AI technology and an AI-driven clinical information highway, it transforms clinical development from manual, siloed processes into a maximized, data-driven ecosystem. The platform empowers organizations to optimize protocols, decrease manual inputs, reduce errors, and ultimately deliver engaged patients, greater efficiencies, shorter timelines, and better outcomes.

Designed for sponsors, clinical operations teams, and drug development stakeholders, ZS Trials.ai combines algorithms, predictive models, and clinical data to break down silos, automate authoring, and enhance every stage of drug development. It enables faster time to market with agility and scalability while maintaining scientific and statistical standards to get vital treatments to patients faster.

Core Capabilities

  • Digitize trial documents: Transform complex study documents into actionable data using a state-of-the-art document digitization pipeline. ZS Trials.ai cleans, extracts, and aggregates valuable information locked in natural language and unstructured formats, making it available for analysis and visualization.
  • Automate error-free data entry: Eliminate manual data entry and streamline connections to downstream documents and systems through data harmonization. The platform integrates structured and unstructured data with generative AI solutions, providing error-free transcription and faster iterations in protocol design.
  • Real-time trial decision-making: Implement feedback and contextually relevant recommendations in real time at the point of decision. ZS Trials.ai enables scientifically informed, study-related decisions while addressing protocol issues and reducing amendments.

How ZS Trials.ai Works

  • Automated trial data extraction: Remove barriers between data and end users by transforming complex study documents into reusable and compliant data, driving faster and more informed decision-making across clinical research and planning.
  • Intelligent study design: Design studies with intelligent automation and insights from an advanced recommendation engine integrated with a clinical trials ontology. The platform helps manage study schedules, enhance patient engagement and retention, and create more patient-centric trials.
  • Optimized studies in real time: Analyze cost, burden, and schedule trade-offs in real time. Inform decision-making based on historic study benchmarks, reduce costs and patient burden, and maintain efficiency and accuracy throughout the trial process.
  • Finalized and connected trials: Transmit protocol data to downstream systems seamlessly. Enable digital data flow, automate document generation, accelerate the creation and distribution of essential materials, and reduce administrative burden to make studies efficient and patient friendly.
  • Patented AI technology: Leverage patented technology built into ZS Trials.ai that incorporates a patient burden index and covers the planning, execution, and reporting of clinical trials through intelligent, machine learning-based methods.

Key Benefits

  • Breaks down data silos across the drug development ecosystem
  • Reduces protocol amendments through real-time, contextually relevant recommendations
  • Improves patient and site experiences by reducing complexity and patient burden
  • Accelerates time to market while maintaining scientific and statistical rigor
  • Supports data-driven protocol design optimization for better trial performance

ZS Trials.ai is purpose-built for pharmaceutical and biotech R&D teams seeking to reimagine study design and clinical trials from end to end. The platform supports the full clinical development lifecycle and is positioned to integrate with downstream systems, enabling a connected and compliant digital data flow across the entire trial process.

Meta

Domain
Clinical Trial Management
Subdomain
Clinical Data Review & Monitoring
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
PharmaBiotechCRO
Development stage(s)
Clinical
Target user(s)
Research ScientistClinical / Diagnostic ProfessionalIT / Systems Admin / Data Engineer
Compliance standard(s)
21 CFR Part 11GxP
Tag(s)
Uses AI