This document introduces a mobile diagnostic device created through a partnership between a Swiss and Russian company. It aims to become a world market leader in telemedicine equipment within five years. The device would be inexpensive, easy to use, and allow for long term health monitoring through accurate sensors. It would function similarly to a wrist watch and use artificial intelligence to diagnose patients based on sensor data, recommending treatments to physicians. The device senses various vital signs through unique autonomous sensors adapted for wearable integration. The partnership combines medical, technical and business expertise from both countries to develop, test, manufacture and commercialize the product globally.

1. The Сonception of Mobile Diagnostic Device by
Switzerland-Russia

2. Introduction
International team with expertise in all required topics

medicine, medical technology, IT technology, telemedicine

engineering, research & development

sales & marketing, financial and tax matters
STBL AG – legal entity – Switzerland Mini Institute PRINT – legal entity
• Founded in 2007 – Russia, Nizhny Novgorod
• Develop medical products and to • Founded in 2002
exploit them commercially • Skolkovo participant since 2011
BioMed Cluster

3. Market and Vision
World Market leader in telemedicine
equipment and services within five years
Device
• Easy to use
• Long Term Monitoring
• Accurate
• Inexpensive
Hardware
IT Services Like a Wrist Watch
Software
World Market Reasearch by IDC
financial support by Intel

4. Product Overview

5. Cognitive Diagnostic System
Cognitive Data
• Model of body •Initial based on Russian Federation
• Based on growing Database Populuation Health Observing Initiative and
others
Diagnose
•Diagnoses physicians
• Recomendations/Warnings
• Physicians for Diagnose Patient oriented (vs. Physician oriented)
• Evolve from Medium to High
Accuracy •Demonstrated for In vitro diagnostic

6. Unique Sensor System

BPM - wearable without
any pressure cause

Other Sensors adapted
for Watch Integration

Autonomous
Enables continuous and
long term monitoring

7. Personal Health Device
Manual Alarm Breathing
Rate
Derived from
Pressure
Radio
ECG
Blood Oxygenation
Blood Pressure
Arteria
Elasticity
Derived from
Pressure
Skin Temperature Signal Form Helplessness

8. Disease vs. Biomarkers
Cardiac Arrhythmia
R-R / P-P Intervall
Sympathetic Nerve Activity
Hypo-/Hypertension Blood pressure
Angina stenocardia ECG
Hypooxygenation Optical Measurements
Anemia
Breathing rates
Sleep apnea
Peak expiratory flow rate
Chronic obstructive
pulmonary/lung diseases Temperature
etc

9. Business Model

10. Business Model

11. Team — Key Players
Medical - Prof. Dr. med. Thomas F. Cognitive - Alexander Sergeev, Dr. of physics
Lüscher Over 400 articles. Professor and mathematics Corresponding member
and Chairman of Cardiology University of the Russian Academy of Sciences, deputy
Hospital Zurich director of IAP RAS.
Technical - Etienne Hirt Dr. sc. Techn. Project-Leader - Russia Alexander Khobotov (
ETH 12+ years of experience in A. d: Ph.D., A. r. Senior Researcher.)
developing, testing medical sensors Technical head of mini-institute PRINT
and their algorithms.
Project-Leader - Bruno Keller B.Sc. 20+
years of experience as Business
Development Director for Central-
Eastern Europe Countries in the IT

12. Thank you!!
RUSSWI-Dynacsys contacts:
Bruno Keller Alexander Khobotov
bruno.keller@stbl.ch alex.khobotov@gmail.com

13. Partnership
“MERA NN”
 Risk-sharing
 Know How Transfer
 Neutralize competitors
 Technology Transfer
 Globalization effect
 Conzentration of competencies
 Pooling Strength
 Compensate weaknesses
 Costs – optimization ООО «Медуза