Pioneering AI-Driven Solutions for Clinical Studies
We specialize in guiding CROs, pharmaceutical, biotech, and medical device companies in selecting the most advanced artificial intelligence tools designed to optimize every phase of clinical studies. With our deep understanding of the clinical study landscape and a commitment to technological innovation, we streamline the process of identifying, evaluating, and integrating AI-driven solutions that enhance study efficacy, safety, and efficiency.
How do we work?
Our process begins with a collaborative Kick-Off meeting to understand your organization’s unique goals and challenges. From there, our experts conduct a comprehensive analysis of available AI tools across each phase of the clinical study process. We then apply our robust vendor selection methodology to match your organization with ideal vendors, ensuring each chosen solution aligns with your specific study objectives.
Vendor Selection Process
At LIVV, we follow a structured, multi-step approach to ensure you have the best AI vendors aligned with your clinical trial needs.
- Comprehensive Landscape Analysis: We begin by surveying the AI technology landscape, identifying providers with tools specifically designed for the clinical study process. This analysis highlights emerging technologies and established players, ensuring a wide range of options.
- Detailed RFP Creation: Based on your project’s unique goals, we develop thorough Requests for Proposal (RFPs). These documents clearly outline project requirements, performance expectations, and compliance standards, ensuring that vendors understand precisely what is needed.
- Vendor Outreach and Shortlisting: We connect with providers to assess their suitability, experience, and past performance in similar projects. This leads to a carefully curated shortlist of the vendors who best align with your criteria and objectives.
- Contract Negotiation: After identifying the ideal vendor(s), we handle the contract negotiation process, ensuring that terms are fair, transparent, and mutually beneficial, including considerations around cost, timelines, and deliverables.
- Ongoing Communication Facilitation: To maintain alignment, we facilitate open communication channels between your team and the vendor, fostering collaboration and ensuring quick issue resolution as the project progresses.
AI tools can be implemented at every stage of a clinical study
Different types of AI tools for your study
Study Design
- Optimize Protocol Design: Streamlining protocols to ensure patient-centric and regulatory-compliant frameworks.
- Predict and Prevent Patient Dropouts: Using predictive models to identify and mitigate potential patient dropouts, enhancing study retention.
- Assess Feasibility for Recruitment: Evaluating the likelihood of successfully recruiting eligible participants, based on design and protocol.
- Reduce Trial Arms with Synthetic Data: Using synthetic control arms to limit the number of trial groups, saving time and resources.
- Reduce Sample Size Requirements: Leveraging advanced modeling to minimize the number of participants needed without compromising data integrity.
Study Start-up
- Investigator and Site Selection: Identifying high-performing investigators and sites with AI-driven matching algorithms.
- Regulatory Document Generation: Streamlining the creation of complex regulatory documents to accelerate compliance processes.
Study Conduct
- Automated Document Review: Reducing review times and enhancing accuracy in document processing.
- Adverse Event Detection: Identifying potential adverse events through real-time analysis of patient data.
- Real-Time Safety Monitoring: Continuous monitoring to uphold patient safety standards and compliance.
- Treatment Adherence Improvement: Using personalized reminders and interventions to keep patients engaged and adherent to the study protocol.
- Digital Twin Models: Employing digital twin technology to simulate patient responses, enhancing study outcomes and protocol adherence.
- Workflow Optimization for Medical Imaging: Streamlining imaging workflows for accurate and efficient analysis.
- Digital Biomarker Analysis: Identifying and analyzing digital biomarkers to support data-driven insights.
- eTMF Filing: Automating trial master file management to ensure accurate and organized documentation.
- Predict and Prevent Dropouts: Applying predictive insights to keep patients engaged throughout the study duration.
Study Close-out
- Clinical Study Reports (CSR): Automating parts of CSR generation.
- Data Cleaning: Enhancing data integrity through automated data cleaning and handling of missing information.
- Query Management: Simplifying and organizing the query process for better resolution.
- Automate Clinical Trial Reports with NLP: Using natural language processing to automate sections of final trial reports.
Our experience
With and within pharmaceutical companies and contract research organizations
We worked within both large pharmaceutical companies and Contract Research Organisations (CROs):
- Johnson & Johnson
- Novartis
- AstraZeneca
- Pivotal Clinical
Therapeutic areas of expertise
Our team has successfully navigated the complexities of numerous therapeutic fields, including
- Oncology
- Neuroscience
- Cardiology
- Rare Diseases
- Ophthalmology
- Gastroenterology
- Pulmonology
Keynote presentation “Use of Artificial Intelligence in Clinical Studies”
In this presentation, we explore how AI is transforming the clinical trial landscape, from enhancing protocol design and streamlining patient adherence to leveraging predictive analytics and improving outcome assessments. Our session provides a comprehensive overview of how AI is revolutionizing clinical trials.
We use specific examples to illustrate these AI trends in clinical trials.
Versatile experience with various vendors
Our comprehensive experience extends to collaboration with a diverse range of vendor types, enhancing our ability to provide tailored and efficient solutions.
Full Service CROs: We partner with full-service CROs to offer end-to-end study management.
Specialty Vendors: Our network includes specialized vendors for AI tools, biostatistics, auditing, legal services, regulatory affairs, health economics, and medical call centers.
Digital Technology Providers: We leverage advanced digital technologies, including eCOA/ePRO, EDC, eTMF, eISF, eQMS, and wearables, to streamline clinical study processes and improve data accuracy and accessibility.
