Trial Library
Overview
Trial Library is an AI-native platform designed to integrate clinical trials into routine medical care, primarily focusing on oncology. It aims to connect patients with suitable clinical trials and support them throughout the trial lifecycle.
- What it does: The platform utilizes AI for intelligent pre-screening and patient identification, matching eligible patients from existing populations to open clinical trials. It also offers a “Conversational Trial Search” that allows medical affairs teams to query open studies using natural language to find protocols, eligibility details, and site information. Additionally, Trial Library provides a “Navigation OS” that uses AI to proactively address potential barriers to patient completion, such as transportation, food, language, and scheduling.
- Who it is for: Trial Library is intended for healthcare providers across various settings, including health systems, clinics, academic centers, and specialty practices. It particularly aims to support community oncology practices, where a significant portion of cancer patients receive care but often have limited access to clinical trials. The platform also serves biopharma sponsors and payers.
- How it fits a clinical or practice workflow: The tool is designed to integrate into existing clinical workflows, enabling seamless referrals and making research a more natural part of patient care. Providers can refer patients to trials with minimal steps, and Trial Library’s team assists with collecting patient records for transfer to the trial site.
- Notable capabilities: Key features include AI-powered patient pre-screening and identification, conversational AI for trial search, and an intelligent navigation system to support patients through the entire trial process. The platform aims to streamline the identification, referral, and enrollment of patients into precision oncology clinical trials.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-native platform for clinical trial integration
- Intelligent pre-screening for providers
- Seamless referrals
- Internal referral optimization and site augmentation
- Intelligent Navigation OS for patient support (transportation, food, language, scheduling)
- Conversational Trial Search for medical affairs teams
- Access to a contracted research network (3000+ providers, 840+ actively participating sites)
- Patient 360 platform for streamlined pre-screening and navigation
- White-label deployment for conversational AI-powered trial search
- HIPAA compliant referrals
Use Cases
- Activating health providers to offer clinical trials
- Identifying eligible patients within existing populations for open trials
- Navigating patients through the entire trial lifecycle, from referral to completion
- Accelerating equitable recruitment to clinical trials for biopharma sponsors
- Integrating clinical trial access into member benefits for payers and employers
- Supporting medical affairs teams in querying open studies and accessing protocol details
What Physicians Need to Know
Clinical Trial Matching
Trial Library utilizes an AI-enhanced platform to match patients to active clinical trials, curating clinical data from trial listings and partnering with subject matter experts to improve accuracy. It offers a conversational AI trial search that dynamically adapts to patient context and refines eligibility with real-time follow-up questioning. The platform supports patient identification and pre-screening services, including internal referral optimization that identifies eligible patients from existing populations without new software or EMR queries. Trial Library focuses on oncology trials, including Phase 1-3 interventional treatment trials for participants over 18, and is actively expanding to support the entire oncology therapeutic area.
Genomic Data Integration
Trial Library collaborates with Guardant Health to integrate large-scale genomic data with its AI-powered matching and navigation platform. This partnership aims to expand equitable access to oncology clinical trials by linking biomarker insights directly to trial opportunities and providing patient support.
Literature Mining
While Trial Library's primary focus is on clinical trial matching and navigation, literature mining is a general capability in biomedical AI tools that helps researchers extract information from published literature to identify disease-causing genes and contribute to biomarker discovery. This can involve analyzing millions of published biomedical articles to stay current with knowledge and uncover hidden information.
Target Identification
Trial Library's core offering is patient-to-clinical trial matching, not early-stage drug discovery target identification. However, in the broader context of biomedical AI, target identification is a critical first step in drug discovery where AI analyzes biological data to uncover disease-related molecular patterns and prioritize potential drug targets. This process is crucial for informing downstream decisions, including clinical trial design.
Safety Signal Detection
Trial Library's main function is connecting patients to trials and navigating them through the process. However, safety signal detection is a critical aspect of clinical trials generally, involving the identification of new or changing information that may affect a drug's benefit-risk profile. AI-powered tools in the broader biomedical field can detect safety signals weeks earlier than traditional workflows by processing unstructured clinical documents.
Collaboration Features
Trial Library is built for the entire trial ecosystem, connecting sponsors, providers, and payers. It offers an end-to-end enrollment infrastructure for sponsors, including a contracted research network of over 3000 providers and 840 actively participating sites. The platform facilitates seamless referrals for providers and offers navigation support for patients.
Publication Support
Trial Library focuses on connecting patients to trials and supporting their journey. In the broader context of clinical research, tools exist to link clinical trials to their corresponding publications, which is a difficult manual process often requiring automated tools to enhance recall. These tools can retrieve trial registry mentions from the full text of biomedical article collections.
Physician Tip
Trial Library offers a streamlined way to identify and refer patients to relevant oncology clinical trials without adding significant burden to your practice. Utilize the conversational AI search to quickly find trials based on patient clinical history. Remember to discuss trial options with your patients first, and then use Trial Library for seamless referral and patient navigation support. The platform's pre-screening and patient identification services can help you find eligible patients within your existing patient population.
Trial Library integrates with clinical trial listings, including data from clinicaltrials.gov, augmenting and validating this information with sponsors and trial sites. It also partners with health systems, biopharma, and payers to integrate clinical trials into routine care. Notably, it has a collaboration with Guardant Health to integrate genomic data for enhanced trial matching. The platform is designed to work within existing clinical workflows, minimizing the need for new systems or logins for providers.
Details
| Category | Drug Discovery & Research, Oncology AI |
| Pricing | Unknown — unknown |
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Unknown AI-estimated Trial Library's platform is not a medical device and therefore does not require FDA clearance. It is a decision support and navigation platform for clinical trials. |
| Integrations | |
| EHR | Not specified |
| Specialties | Hematology, Oncology |
Ratings & Reviews
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Press & Coverage
Trial Library
Trial Library today announced the launch of Conversational AI Trial Search, a new AI-native approach to identifying and navigating patients to clinical trials.
Trial Library launched Conversational AI Trial Search, an AI-native approach designed for real-world clinical workflows to identify and navigate patients to clinical trials. This dynamic and intuitive system aims to support providers in evaluating opportunities and guiding patients more naturally through the process.
2026-05
ASCO Publications
High-volume patient navigator encounters and access to oncology clinical trials.
This study examined the impact of high-volume patient navigator encounters on access to oncology clinical trials, highlighting the importance of robust patient navigation infrastructure to address non-clinical barriers. The Trial Library platform, integrated into community oncology settings, facilitated end-to-end support for eligible patients.
2026-05
Journal of Clinical and Translational Science
Artificial intelligence in clinical trial participant recruitment and retention: A scoping review and meta-analysis | Journal of Clinical and Translational Science
This review discusses how AI tools are transforming healthcare, including their application in clinical trial recruitment and retention. It mentions Trial Library as an online platform that used ePath to enhance underrepresented patients' interest in participating in cancer trials.
2026-04
ACCC-Cancer.Org
ACORI Research Review: January 2026
This issue of the ACORI Research Review Newsletter explores how trust, access, and infrastructure are shaping the future of cancer clinical research, including national efforts to expand equitable access through AI-enabled navigation and clinical trial matching, mentioning Trial Library as a tool.
2026-01
TipRanks.com
Women-Led AI Recognition Highlights Trial Library's Oncology Focus - TipRanks.com
Trial Library was recognized by How Women Invest as a leading woman-led AI firm contributing to the emerging AI economy. The article highlights CEO Hala Borno, M.D., and the company's use of AI to match oncology patients with clinical trials, supporting precision medicine.
2026-08
Trial Library
Trial Library has officially achieved SOC 2 Type 2 and HIPAA compliance certifications!
Trial Library announced its achievement of SOC 2 Type 2 and HIPAA compliance certifications, underscoring its commitment to maintaining high standards of security and privacy for its healthcare and R&D partners. This milestone aims to enhance security and protect healthcare data.
2024-05
PR Newswire
Trial Library Announces Expansion of Collaboration to Advance Equity and Access in Oncology Clinical Trials - PR Newswire
Trial Library expanded its collaboration with Johnson & Johnson Innovative Medicine to apply its platform in support of oncology clinical development and medical affairs programs. The platform, integrated with technology-enabled navigation services, aims to advance equity and access to clinical trials.
2024-03
PR Newswire
Trial Library Emerges Out of Stealth with $5 Million in Seed Funding, Led by Lux Capital
Trial Library, Inc. announced its emergence from stealth mode with $5 million in seed funding led by Lux Capital, with participation from other investors. This investment supports the company's mission to improve health equity by expanding access to cancer precision medicine through its platform.
2022-08
Videos
Product demos, reviews, and walkthroughs for Trial Library.
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Frequently Asked Questions
A Trial Library is a centralized, searchable repository of clinical trial data, protocols, and results. For drug discovery, it can accelerate research by providing access to historical data, identifying potential biomarkers, and informing trial design, ultimately reducing redundant efforts and improving success rates.
Trial Libraries are designed with robust security and compliance features, adhering to regulations like GDPR and HIPAA. They typically employ de-identification techniques for patient data, access controls, and audit trails to ensure privacy and regulatory adherence while still providing valuable research insights.
While alternatives exist, such as internal databases or spreadsheets, they often lack the comprehensive features, standardization, and advanced analytics offered by a dedicated Trial Library. These alternatives can lead to data silos, inconsistencies, and hinder efficient data sharing and analysis across research teams.
Pricing models for Trial Libraries can vary, ranging from subscription-based access for individual researchers or institutions to tiered pricing based on data volume, user count, or specific features. Some providers may also offer customized enterprise solutions.
Limitations can include the quality and completeness of the data entered, which depends on the original trial reporting. There might also be challenges in integrating data from highly disparate sources, and the library's utility is dependent on its ongoing maintenance and updates to remain current and comprehensive.
Many Trial Libraries allow or encourage contributions from researchers to enrich their datasets. The process typically involves data standardization, de-identification of patient information, and adherence to specific submission protocols to ensure data quality and privacy.
Trial Libraries often include features for secure data sharing and collaboration, allowing authorized researchers from different institutions to access and analyze shared datasets. This fosters multi-center studies, meta-analyses, and accelerates the translation of research findings.
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| Last Verified: 2026-09-03 | First Added: 2026-09-03