TrialFit.Ai

TrialFit.Ai® is an integrated, AI-powered patient-to-trial matching platform designed to accurately connect patients with the most suitable therapies and clinical trials — whether approved or investigational. Built for precision medicine, the platform ingests patient clinical data from electronic health records (EHRs and EMRs), constructs digital twins of individual patients, and aligns them with therapies using disease models trained on real-world multimodal data. It is intended for healthcare organizations, clinical research teams, and life sciences stakeholders seeking to improve trial enrollment efficiency and deliver more personalized treatment strategies.

By moving beyond rigid, narrow eligibility criteria, TrialFit.Ai® ensures patients are considered for studies that genuinely align with their individual clinical profiles. Its data-driven approach accelerates trial enrollment, improves recruitment efficiency, and supports personalized strategies designed to improve long-term patient outcomes by prioritizing therapies based on predicted treatment response and disease progression.

How It Works: Turning Patient Data Into Precision Trial Matches

• Creating Digital Twins: Patient data from EHRs and EMRs is transformed into rich clinical profiles — digital twins — that capture each individual's disease characteristics with precision, reflecting the patient's evolving clinical state in real time.
• Multimodal Disease Models: TrialFit.Ai® leverages advanced disease models built using machine learning and foundation models trained on public datasets. These patient-agnostic models draw from thousands of cases and are optimized to predict drug response, disease progression, and long-term outcomes.
• Therapy Matching: Digital twins are mapped onto the disease model space to evaluate clinical similarities, identifying therapies most likely to deliver meaningful, long-term results for each individual patient.
• Clinical Trial Matching: Matched therapies are linked to relevant clinical trials through BioThinkHub® — ThinkBio.Ai®'s integrated knowledge platform — which aggregates global trial registries, scientific literature, and drug databases to recommend trials best suited to each patient profile.

Key Features and Capabilities

• Precision Therapy Matching: Advanced algorithms transform EHR and EMR data into rich patient profiles, analyzing complex clinical features to identify therapies with the highest likelihood of success using disease-specific model projections.
• Digital Twin Technology: Real-time digital twins reflect each patient's evolving clinical state, simulating disease trajectories and predicting therapy response to enable truly personalized care decisions.
• AI-Driven Disease Models: Trained on data from thousands of patients, these scalable and unbiased disease models forecast drug response, disease progression, and long-term outcomes across multiple conditions.
• Clinical Trial Matching Engine: Patients are instantly connected to relevant clinical trials as the platform scans global trial databases, literature, and drug registries — filtering by eligibility, location, and therapeutic fit — to surface the best opportunities in real time.
• End-to-End Clinical Enablement: TrialFit.Ai® bridges the gap between routine care and trial enrollment by automating matching within existing clinical workflows, reducing delays, and expanding access to investigational therapies.
• Scalable and Secure Infrastructure: Designed for enterprise deployment, the platform integrates with major EHR systems and supports disease-specific customization, built to meet global data privacy standards including HIPAA.

TrialFit.Ai® is built for enterprise-scale deployment and integrates seamlessly with major EHR systems. Its infrastructure is designed with security and compliance at its core, adhering to HIPAA and global data privacy requirements, making it suitable for healthcare institutions and research organizations operating across multiple geographies.