MAWI predictive analytics platform to use COVID-19grade data-driven AI solutions that can enable...

MAWI predictive analytics platform to use wearables data for managing COVID-19 patients

Project Executive SummaryWhat problem do we address?

● During an epidemics demand for medical professionals and hospital space can not be fulfilled - this leads to increase in mortality.

How we propose to solve this problem?

● We increase patient management efficiency by using AI and Wearables for automated remote monitoring of less severe patients.

Why are we the best to solve this problem?

● We have great experience in delivering high-quality medical hardware and AI products very fast.

MAWI SOLUTIONS. PROPRIETARY & CONFIDENTIAL

About MAWIMawi is a medical data-driven company with significant expertise in AI solutions and smart wearables.

MAWI has significant expertise in developing clinical- grade data-driven AI solutions that can enable precision cardiology and improve patient outcomes.

Deep learning applied to >2M hours of patients’ heart data to train MAWI algorithms.

MAWI Research Platform is a global community of biomedical engineers and medical researchers.

Mawi is the main device and analytics supplier for CCVD study (Zurich University & UNICEF).


Founded: 2016Raised: $1,5M (by founders) Launched: 2018 (paid pilots / trials)Staff: 30+ employeesFDA/CE Status: Preparing for 510K, CE submission,2019 Revenue: $0.3M (120% YoY)

http://www.mawi.band

http://www.research.mawi.band

https://www.ccwd.uzh.ch/research/projects/2018/06/01/wearable-malawi.html

https://www.ccwd.uzh.ch/research/projects/2018/06/01/wearable-malawi.html

Mawi combines the power of AI and wearables to make COVID-19 patients management more efficient MAWI SOLUTIONS. PROPRIETARY & CONFIDENTIAL

MissionManaging public health during an epidemics is a huge burden for the medical system of any country.

Limited capacity of hospitals and number of medical professionals together with exponential growth in demand for medical care leads to dire consequences. Large part of the infected doesn’t get enough treatment. Mortality rate grows. And this growth becomes more significant with the spread of the disease.

Our goal - use the power of AI and wearables to increase the efficiency of patient management thus decreasing mortality of the epidemics.


Hospital beds per 1,000 people

Vision● Lack of medical personnel is the main problem that we are

addressing. ● By using our solution, medical system would allow doctors to focus

on treating severe patients while increasing the quality of management of people in mild group and those that are yet to develop symptoms.

● So we are increasing the quality of medical care for all the patients groups thus decreasing the mortality rate of the disease.


Problems80% of COVID-19 cases are associated with minor symptoms. These patients still need to be monitored by doctors. Yet 24/7 hospital control for them during epidemics is inadequate.


To control disease spread it is vital to quarantine possible infected. During a pandemics there is a huge number of such people and resources to control their location and stance are lacking.

Idea● Our targets are mild-case patients and quarantined individuals.

● We propose to use smart wearables to collect vital signs and cloud based AI

powered system to analyze them.

● We want to get updates on the stance of large population as fast as possible

without increasing the burden on doctors.

● Vital signs include Temperature, Breathing rate, SpO2, Heart Rate, Heart Rate Variability, ECG, sleep data and location collected remotely.


Vital signs to predict COVID-19● Main specific symptoms of

COVID-19 are Fever, Cough and Shortness of breath.

● We propose to collect Temperature, Breathing rate, SpO2, Heart Rate, Heart Rate Variability, ECG, sleep data and questionnaire data to asses the stance of the patient automatically.


HRV

Science

Heart tells a lot more about health

HRV—Heart Rate VariabilityHeart never beats evenly, because it’s rhythm regulated by body’s autonomic nervous system (ANS), which trying to maintain homeostasis inside the body dealing with unstable surrounding conditions. By measuring these changes body physiological condition can be analyzed. Research suggests it can be used to detect influence of virus on organism early.

Advanced health metric● Sensitive to health

conditions

● Sensitive to imbalance in stress and recovery

● Used by elite athletes and sports teams

● Originally comes from space health

than just heart rateand cardio zones


HRV as a predictor of COVID-19● It is known as fact, that heart rate

variability can be used to measure autonomic nervous system (ANS) activity, while the latter is responsive to viral and other diseases in human body.

● Recent studies show that HRV patterns differ in individuals who are completely healthy and such ones who are in incubation period or active phase of influenza.


Shapes of consecutive pulse waves recorded during the healthy (red curve-line) and symptomatic stages of influenza (blue curve-line)virus infection in the same infected individuals. Source

https://pdfs.semanticscholar.org/6d14/65955515d559fe94ccbe7cabeab6ba998717.pdf

Core Body Temperature measurement● Quality of the data is important, so

we are going to collect Core Body Temperature (CBT) data instead of just skin temperature.

● To do it conveniently, we will use portable sensors developed by our partner, Swiss company greenTEG.

● They have developed a solution for non-invasive CBT measurement with proven efficiency.


greenteg.com/template/userfiles/files/greenTEG%20-%20EWS%20Brochure%202019.pdf

https://www.greenteg.com/template/userfiles/files/greenTEG%20-%20EWS%20Brochure%202019.pdf

https://www.greenteg.com/template/userfiles/files/greenTEG%20-%20EWS%20Brochure%202019.pdf

Project Goals and timelineResults of this project should be available as soon as possible, so we decided to set two goals for it:

● Short-term goal - Software development- AI solution and data management system.○ Will use data from available wide-spread sensors to save time.○ Will be able to automatically detect signs of the disease and inform doctors when needed.○ Will track location of the person for disease spread analysis○ This solution could be ready as soon as in couple of months.

● Long-term goal - Hardware development - Specially designed device for patient tracking.○ Will have all the needed sensors to analyse needed data with minimal active involvement of a

person. Will use the adapted version of previously-developed software.○ This solution could be ready in 6-12 months.○ Due to sensor versatility the system could be used for future epidemics as well.


AI Solution and data management systemThis solution will have following features:

● Use data from wide-spread sensors, such as Polar H10, pulse oximeters and thermometers.

● Analyze breathing data to predict shortness of breath● Analyze HRV to assess stance of a person and predict diseases on early stages● Collect SpO2 and Temperature data using wide-spread sensors● Use questionnaire to collect more patient data● Track location of the patient and transmit data via patients smartphone● Rapid development and testing● Main goal - provide doctors with automated notifications about the stance of

observed patients automatically and only when it’s needed


Hardware solutionThis solution will have following features:

● It will be implemented as a device that requires no special training to be used by the patient.

● Core Body Temperature, Breathing rate, SpO2, Heart Rate, Heart Rate Variability, ECG, sleep data, location will be collected

● All the software would be adapted for this solution● Additional testing and more data streams will help in increasing performance of

the system● Due to sensor versatility the system could be used for future epidemics as well.


Control

•• Tracking of of quarantined people

•• Control of physical location and signs of the disease

•• Minimal load on medical personnel

Early stage diagnostics

•• Properly trained AI will be able to detect early signs of disease

•• Risk-group individuals with disease will be identified faster

Tracking of mild patients

•• Rapid response on deterioration of the patient's condition

•• Minimal load on medical personnel

Post-recovery monitoring

•• Analyze long-term effect of disease on organism

•• Patient management together with research

• CBT (Core Body Temperature)

• 1 lead ECG• HRV/sleep/activity data/

resting HR• Sp02 data• Medical Questionnaires


Mawi AI Platform as a single-solution for COVID-19 early detection

Execution roadmap● Q2 2020 - Software solution development, first trials in Ukraine with our

existing CRO partners and Hospitals, start of integration with some of the European clients

● Q2 2020 - Development of TRL2 - TRL5 prototypes of the hardware solution● Q3 2020 - Projects with our existing EU and USA partner hospitals, nursing

homes, Production of the hardware device, improvement of software solution

● Q3-Q4 2020 - Start of the clinical testing of our hardware solution, start of the certification of our hardware solution, implementation of our hardware solution into the patient management system to form our final product

● Q1-Q4 2021 - Sales of our final product to our clientsMAWI SOLUTIONS. PROPRIETARY & CONFIDENTIAL

Why Mawi?

Why Mawi?We have tremendous experience in developing biosignal measuring wearables and AI solutions for analysis of biosignal data.

We will be able to create high quality device and AI based system very fast.

Epidemics is spreading fast, and the solutions need to be created even faster.


Mawi devices


ECG signal

Heart Rate / HRV

SpO2

Core body temperature

Activity tracking

Sleep tracking

On-device reminders

Up to 14 days battery

Different form-factors

Bluetooth LE 4.2

API/SDK

Our product: Mawi health companion for seniorsWe have experience in developing solutions for elderly population - the most vulnerable group during COVID-19 epidemics.

When Mawi is always on patient’s (senior’s) body, he instantly takes an Temperature, ECG, Blood pressure, SpO2 to make a complex check-up to detect signs of health problems and COVID-19 effects.


And it helps as well to follow patientshealth remotelyAllows supervisors to stay up-to-date with patients’ important health events:

● Core Body Temperature (CBT)

● Arrhythmias● Blood pressure● Oxygen Saturation (SpO2)● Breathing problems● Low activity● Stress increase● Inadequate sleep● Missed pill intake

And additionally:

● Setup medication scheduling

● Go deep in health data● Connect with care team


Our previous experience in research and populational screenings

In 2019 Mawi was selected as a main vendor for a project on child development analysis in Malawi.

This project aims at evaluating innovative approaches for collecting data on child development in low-income countries, at much lower cost and at higher frequency than alternative data collection methods typically used by UNICEF and other international organizations.

10 years populational screening in Malawi.


This project is a cooperation between organisations from all over the world


Research on Sleep Stance based on HRV data

This is a project in which we are using hardware from another manufacturer to collect biosignals. This time it’s Polar H10 - a device which allows high-quality collection of HR and movement data. We have previously been using this data to train our sleep and breath analysis models.

Use from different devices


MAWI R&D Team

MAWI Research Framework


Analysis of new IDEA and resources needed for the research (1 week)

Algorithm-based patent and Scientific Search (2 weeks)

Development of the research project design (1 week)

Patenting (4 weeks)

Development and testing of physical prototype

Research (depends on the project, usually 8-10 weeks)

Founders

Artem MalynovskyiCTO, Co-founder

PhD student, 6+ years experience in big data and

high-load medical solutions

Vitalii SahanVP of Engineering, Co-founder

PhD student, 5+ years experience in data science,

Mawi core IP inventor

Andrew KlymenkoSales, BDM Co-founder

Serial entrepreneur, 10+ years experience in B2B sales and

devices production

Ron FridmanCEO, Co-founder

PhD student, 5+ years experience in data science,

SingularityU AI lecturer


R&D Team Core

Artem BachynskyiSenior Data Scientist, Expert in biosignal processing, MsC from

Tartu University (Estonia), completed several projects on ECG,

EEG and human activity analysis

Yurii GubinHead of Firmware

Development with 20+ years of experience in

embedded, wearables, IoT and avionics.

Oleksandr StarykHead of Hardware

Development with 20+ years of experience in developing hardware

products.

Oleksandr HoncharML Solution Architect, Consultant, 6+ years in data science, MsC in Mathematics from University of

Verona (Italy), popular blogger and public speaker in Europe


MAWI Development Team

A perfect combination of innovative,

driven and passionate professionals:

• World-class AI team

• Inhouse development (software +

hardware)


Medical Advisors

Paul Robert Vogt, MD, PhDProf. Cardiovascular SurgeryUniversity Hospital Zurich

Davit Mrelashvili, MD, MBATeleneurologist with a vastly scalable practice at over 200 US hospitals

Nadiia Kryzhanovska, MD, PhDCEO and founder at “Personal medicine clinic” in Dnipro, anti-aging expert

Alexey Bashkirtsev, MD, PhDHead of "Edem Medical", Experienced medical professional and manager with experience in creating numerous medical facilities

Mark Lazarovich, MDAllergy/Immunology. Burlington VT USA; CEO, Founder - Remmedy, AllerPassMD


Polina MamoshinaHead of Biomarker Development at Insilico Medicine, Curator of joint project on Ageing

Richard Houben, PhDSenior Principal Scientist, Medtronic Technical Fellow

Scientific Advisors

Peter Bauer, PhDPresident VisCardia and Inovise Medical, more than 30 years experience in medical devices market

Mykola Maksymenko, PhD R&D Director at SoftServe, Expert in application of Machine Learning in medical solutions

Alex Zhavoronkov, PhDFounder and CEO at Insilico Medicine, Expert in Biotechnology


Alexander Koliada, PhDResearcher at D.F. Chebotareva Institute of Gerontology,

Prof. Vitalii DidkovskyResearcher, Specialist in biosignal analysis with more than 50 years of experience

Scientific Advisors

Nikolai Shpakovsky, PhDInnovator, TRIZ consultant at Samsung Advanced Institute of Technology, research consultant

Prof. Alexey MoskalevProfessor, Head of the laboratory "Genetics of aging and longevity" at Moscow Institute of Physics and Technology

Nik Nikitin, MD, PhDPresident and Founder Clinical Accelerator (CRO), 15 years of experience in supporting clinical trials


Edem MedicalLuxury medical center. Our partnership includes data provision and pilot projects with some of our products.

Partner Institutions

Amosov National Institute of Cardiovascular SurgeryOne of the largest Cardiological institutions in Ukraine. Partnership includes data provision and research projects related to arrhythmia detection.

MD Stragesko Institute of CardiologyOne of the largest Cardiological institutions in Ukraine. Partnership includes data provision and research projects related to arrhythmia detection.

Kyiv Heart InstituteOne of the most advanced Cardiological institutions in Ukraine. Partnership includes data provision and research projects related to arrhythmia detection.

D.F. Chebotareva Institute of GerontologyPartnership includes data provision and research projects related to endocrinology and ageing.

Partner Institutions

National University of Ukraine on Physical Education and SportSome of the scientists from the institute are our partners in sports-related projects

Personal Medicine Clinic Private medical facility devoted to anti-aging, partnership includes joint screening, research projects on stress and wellness and data

Dobrobut health care networkDobrobut medical network is the first in Ukraine network of private medical establishments which work on the modern standards of quality of grant medicare.

COVID-19 spreads dramatically fast. Let’s take action to control it faster!

[email protected]

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