AiCurator
Clinical site dashboards for trial monitoring and participant management
Company profile
Pioneers in Verified Medical Adherence - Proven Outcomes. Real-world Evidence.
Company profile
AiCure is a leading AI and advanced data analytics company specializing in clinical trial optimization through its flagship platform, H.Code. The company has pioneered AI-powered adherence verification technology trusted by pharmaceutical companies, contract research organizations (CROs), and healthcare providers to verify medication and clinical behavior adherence across the healthcare lifecycle. H.Code combines AI-powered computer vision, synchronous chat, and predictive analytics to remotely observe and assist trial participants through their smartphones, revolutionizing access and participation while improving statistical power and deepening understanding of the relationship between patient behavior and trial outcomes. The platform supports all types of clinical trials—traditional site-based, decentralized, fully virtual, or hybrid models—across any therapeutic indication. AiCure's technology has been deployed across more than 2,200 clinical trial sites in 46 countries, capturing over 1.5 million participant doses with a 92% participant retention rate. The company's research demonstrates that early medication adherence captured through H.Code can serve as a marker for participant retention, with their Clinical Site Services framework reducing early termination rates for adherent participants to just 7.8% across 28 phase I-IV clinical trials. AiCure serves seven of the top 10 global pharmaceutical companies and has been awarded 84 patents for its innovative approach to clinical trial patient engagement and adherence monitoring.
Company description AiCure official website
Mission. Make the trial experience better, for everyone. H.Code is designed to be a bridge between your patients and your clinical team, making clinical trials more convenient and accessible for participants and more manageable and effective for clinical sites and study teams.
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas · Hybrid deployment with recorded integration context.
Recorded integration context: Additional patient data sources, Clinical workflows and records, Patient companion apps.
Company milestones
Over 2,200 clinical trial sites deployed, 1.5+ million participant doses captured, 84 patents awarded, research published on early termination prediction
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Clinical site dashboards for trial monitoring and participant management
Tech-enabled operational monitoring framework to reduce early termination
Audio and visual digital biomarker detection for treatment response monitoring
AI-powered adherence verification platform for clinical trials and healthcare
Mobile app for real-time medication adherence and remote patient monitoring
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Schizophrenia research · Jan 1, 2025
Acceptability of an automated directly observed therapy (DOT) application for PrEP adherence support among young men who have sex with men: a qualitative exploration.AIDS care · Nov 1, 2024
Identifying Unmet Needs in Major Depressive Disorder Using a Computer-Assisted Alternative to Conventional Thematic Analysis: Qualitative Interview Study With Psychiatrists.JMIR formative research · Mar 1, 2024
Randomized Controlled Trial of Automated Directly Observed Therapy for Measurement and Support of PrEP Adherence Among Young Men Who have Sex with Men.AIDS and behavior · Feb 1, 2023
Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management.Frontiers in digital health · Jan 1, 2023
Characterizing clinical pediatric obesity subtypes using electronic health record data.PLOS digital health · Aug 1, 2022
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Across clinical trials using H.Code platform
Total doses verified through platform
For adherent participants across 28 phase I-IV trials with 4,000+ patients
Reported by Abbvie - dropout rates cut by more than half
Reducing participant dropout rates in clinical trials
Drop-out rates cut down by more than half
Advanced facial recognition and mapping for detecting subtle clinical changes
Most advanced in facial recognition and mapping software for clinical detection
Reducing early termination in clinical trials through tech-enabled monitoring
Early termination rates reduced to 7.8% for adherent participants across 28 phase I-IV trials with 4,000+ patients in 43 countries
Using AiCure as an active data collection tool to drive clinical action
Shifted from passive data collection to action-driving tool
05 · Leadership
Leadership profiles and professional links from the current Company record.
Matthew Leoni
VP, Global Clinical Development
Sarah Titus
Director of Clinical Operations & Development
Kyle Holen
Head of Development Design Center
06 · Company updates
Recent articles published on AiCure's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies using AI to optimize clinical trial design, accelerate patient recruitment, match patients to trials, predict trial outcomes, or improve clinical research efficiency. Includes patient enrollment and screening platforms, AI-powered trial matching, and tools that reduce the time and cost of bringing new treatments to market.
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