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Icarus Therapeutics

Icarus is an AI-powered clinical trial matching platform that connects patients with the most relevant medical studies. By leveraging semantic search and advanced AI models, it efficiently analyzes millions of patient and trial records, ranks eligibility, and generates clear justifications — helping pharmaceutical companies accelerate recruitment and improve trial outcomes.

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About the project

Icarus Therapeutics is an AI-powered platform designed to match patients with the most relevant clinical trials and help pharmaceutical companies efficiently identify the best candidates for their studies. The system processes millions of patient and trial records, automatically evaluates eligibility, calculates relevance scores, and generates short human-readable justifications for every patient–trial match.
Alongside the AI-powered matching engine, the product was designed as a scalable digital ecosystem supporting both patient and sponsor journeys. The UX architecture covered onboarding, trial discovery and applications, secure communication between participants and coordinators, appointment coordination, progress tracking, and milestone-based compensation workflows.
In the first release, the team prioritized the most critical workflows required to launch and validate the product direction, while keeping the overall UX architecture scalable for future modules. The platform enables:

Finding the best trials for a given patient
Identifying top candidates for a clinical trial
Cross-matching and ranking top N patients or trials
Automatic eligibility and relevance scoring with explanations

The core idea behind the project was to simplify and automate an expensive, manual, and time-consuming clinical recruitment process for pharmaceutical companies, while ensuring clarity and usability for patients interacting with complex medical information.

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Full-cycle software development

UI/UX Design

Testing

Application architecture design

Challenges that was faced and overcame

Large-scale data collection & processing: The platform needed to download and preprocess over 500,000 publicly available clinical trials from ClinicalTrials.gov and continuously keep the database updated.

Performance at scale: The platform handled gigabytes of text and hundreds of thousands of patient and trial records. Ensuring speed, reliability, and cost efficiency required deep optimization strategies.

Cost-efficient AI infrastructure: Building multiple semantic and vector search indexes with AI models demands expensive hardware resources. The solution had scale up instantly when needed, scale down automatically, remain HIPAA-compliant for medical data storage and processing.

Extremely large documents: Some trial files exceeded 100,000 pages, while only a small portion of the content was relevant for AI matching. The system had to extract only meaningful data while still preserving links to the original full documents.

Designing сlear workflows around complex medical data: Clinical trial information is dense and highly specific, so the main UX challenge was structuring long descriptions, eligibility criteria, and multi-step patient actions into a clear, approachable experience for different user roles.

Designing supportive health monitoring & communication tools: Beyond matching, the platform required supportive features to improve engagement and transparency. This included designing an e-Diary for daily symptom tracking, secure messaging between patients and coordinators, and contextual notifications tied to appointments & payments.

Technologies used

Our experienced engineers employ the latest technologies, frameworks, and components to create solution that combine a strong easy-to-use modern design with high performance

1 Full-Stack Developers

1 UX/UI Designer

1 Project Manager

Team Structure

Our team consisted of one full-stack developer, one UI/UX designer, and one project manager. Together, we designed and built a scalable AI-driven matching system from scratch, combining semantic search, vector indexing, and automated eligibility scoring, while ensuring a clear and scalable user experience across both patient and sponsor workflows.

1 Full-Stack Developers

1 UX/UI Designer

1 Project Manager

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Value delivered

The Icarus Therapeutics platform significantly reduces recruitment time and operational costs for pharmaceutical companies while improving patient access to relevant clinical trials.

Built a cost-efficient, scalable MVP platform from the ground up.
Enabled large-scale automated patient-trial matching.
Implemented smart infrastructure scaling and cost control mechanisms.
Delivered secure HIPAA-compliant data processing.
Developed business logic and matching algorithms.
Created data upload APIs.
Built an admin user portal for management and monitoring.
Designed a scalable UX foundation supporting both patient and sponsor journeys.
Structured end-to-end workflows including onboarding, trial applications, communication, appointment coordination, progress tracking, and milestone-based compensation visibility.

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