Publications and Research
Health Vault is an AI-powered platform for managing medical data. Below are key publications, scientific articles, and media mentions.
Major Media
RIA Novosti — "Russia Develops Personal Digital Health Twin"
Coverage of Health Vault in Russia's largest news agency: "Startup Lissa Health has developed a personal digital health twin based on artificial intelligence."
iXBT — "Russia Introduces AI-Powered Digital Health Twin"
Platform review on one of the largest technology outlets in the Russian-speaking internet.
Dzen — Platform Overview
Feature article about Health Vault on Yandex Dzen.
Technical Publications (Habr)
Biological Age: Evidence-Based Medicine or Marketing?
An analysis of scientific methods for biological age assessment — PhenoAge, epigenetic clocks, and ML applications for mortality risk prediction.
Semantic Decomposition of Medical Texts
A technical deep-dive into the transition from document-centric to factor-centric data models, extracting clinical findings and biomarkers from unstructured text using AI.
How Laboratory Tests Help You Manage Your Health
An overview of the role laboratory testing plays in proactive health management and biomarker monitoring.
Lissa Health — Medical Data Storage App (v1.2)
Platform update: image-based lab result recognition, document attachments, data export.
Lissa Health — Initial Launch
Official platform launch: medical document recognition, trend tracking, AI analytics.
Argus Telegram Bot (OCR)
The Health Vault document recognition module, spun off as a standalone product — the Argus Telegram bot. Took #1 of the week on Product Radar.
Scientific Publications
Peer-Reviewed Article (eLibrary)
A peer-reviewed article describing the AI medical data parser architecture with > 90% extraction accuracy.
OrgZdrav Congress Presentation
Presentation on AI applications in healthcare.
Accelerators and Programs
| Program | Status |
|---|---|
| NTI University 2035 | Project Profile |
| Sechenov Accelerator (Sechenov.tech) | Graduate |
| MedTech Navigator | Certificate holder |
| University of Leaders Tech Competition | Finalist, Demo Day |
| Russian Software Registry | #7584301 |
Conferences and Presentations
- HealthNet — presentation on AI applications for structuring medical data
- Selectel — talk on infrastructure and scaling of medical AI services
- Aspectum Hackathon "AI Medicine" — AI triage assistant project
Key Technologies
| Technology | Description |
|---|---|
| AI Document Parser | Automatic data extraction from PDFs, photos, medical records (> 90% accuracy) |
| Factor-Centric Architecture | Data Vault for longitudinal medical data analysis |
| AI Visit Transcription | Automatic transcription of medical consultations |
| Digital Health Twin | Dynamic AI-powered model of a person's health state |
Media Contacts
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