Precision Therapy Matching
Matches patients to therapies using AI-driven disease models that analyze complex clinical data and predict treatment suitability.
About TrialFit.Ai®
Why Use TrialFit.Ai®?
Clinical trial recruitment is often slowed by manual screening, fragmented patient data, and complex eligibility criteria. TrialFit.Ai® automates patient identification and intelligently matches individuals to therapies and clinical trials based on their unique clinical characteristics. By reducing manual effort and delivering explainable recommendations, the platform accelerates enrollment, expands patient access to innovative therapies, and enables more informed clinical decision-making.
How it works
TrialFit.Ai® securely analyzes structured clinical data from EHRs and EMRs, including diagnoses, treatment history, laboratory results, and biomarkers, to create dynamic digital twins of individual patients. These digital twins are evaluated against AI-powered disease models to identify the most appropriate therapies, while BioThinkHub® matches eligible patients to relevant clinical trials based on trial criteria, delivering explainable Match Scores and evidence-backed recommendations.
Matches patients to therapies using AI-driven disease models that analyze complex clinical data and predict treatment suitability.
Creates dynamic patient models that enable personalized treatment planning and more accurate prediction of therapy response.
Leverages multimodal AI models trained on real-world biomedical data to support evidence-based clinical decisions.
Automatically identifies and prioritizes relevant clinical trials using eligibility criteria, explainable Match Scores, and transparent recommendations.
Connects clinical trial registries, scientific literature, and biomedical knowledge to strengthen every therapy and trial recommendation.
Integrates with major EHR systems and supports secure, scalable deployment with enterprise-grade security and HIPAA-aligned privacy.
Frequently Asked Questions
TrialFit.Ai® is an AI-powered patient-to-trial matching platform that helps healthcare providers identify the most appropriate therapies and clinical trials for individual patients. By analyzing electronic health record (EHR/EMR) data, creating digital twins, and comparing patient profiles against disease models and eligibility criteria, TrialFit.Ai® delivers fast, accurate, and explainable trial recommendations.
The platform analyzes patient data, creates digital twins, and compares them with trial eligibility criteria to identify and rank the best clinical trial matches.
Yes. TrialFit.Ai® integrates with major EHR/EMR systems to automate patient identification and streamline clinical trial matching within existing clinical workflows.
Traditional clinical trial recruitment often relies on time-consuming manual chart reviews and trial searches. By automating patient screening and trial matching, TrialFit.Ai® reduces manual effort, accelerates enrollment, and helps identify more eligible patients for clinical studies.
Unlike traditional rule-based matching tools, TrialFit.Ai® combines AI, digital twin technology, disease modeling, and explainable Match Scores to deliver faster, more accurate, and transparent trial recommendations.
Yes. TrialFit.Ai® is built with security, privacy, and regulatory compliance at its core. Designed with enterprise-grade security, the platform supports healthcare data privacy standards, including HIPAA, helping safeguard sensitive patient information while enabling secure AI-powered clinical trial matching.