Digital solution preventing the #1 cause of death worldwide.

UPOlife saves lives, by predicting and helping to prevent heart disease conditions up to 2 months before they occur.

A simple 60 second handheld ECG test is done, data acquired is transferred to a cloud-based algorithm system, which replies with predictions, recommendations and health analysis for the patient and serves as a decision support tool for doctors.

Patients access their progress using an understandable dashboard on their phones or desktop, while doctors can access deeper analytics and raw data.

The solution also saves time on doctor visits, travel expenses, re-admissions, and health budget expenses in general for the government, insurance companies and patients themselves.

UPOlife scaled globally would change millions of lives and would potentially save up to 280.96 billion each year in the US alone, by saving up to around 80% of the cardiovascular problem patients, whose health issues could be prevented, if detected on time.

Middle age urban citizens find out about their heart health issues too late to act on them properly.

In many countries 40+ year old citizens who could bring huge amount of economic value to their country already have heart health issues. Instead of adding to the total economy, they start to use the healthcare budget.

At the moment CVD related deaths are higher than they have ever been globally and since 1912 they still take the largest death percentage.

In Europe alone, 3.9 million deaths are caused by CVD every year, which accounts for 45% of all deaths in Europe. 

Current solutions, to detect CVD related problems, are expensive, time-consuming and require full doctors attention, which occasionally leads to human errors.

UPOlife aims to solve up to 80% of the untimely deaths with heart health predictions, analysis and adjusted suggestions.(20% are incurable)

Another 87% of workers worldwide are unhappy in their work environment due to stress, fatigue, and emotional pressure.
Most of them are unaware of serious long term effects, that can lead to,  depression and burnouts.

Both problems status and range can be measured from heart data. And what can be measured, can also be improved!

UPOlife solution will directly and meaningfully improve the lives of following groups:

• Urban citizens with higher risk of developing any heart-related disease. Meaning general population after 40 with decreased activity level and poor diet. Our current pilot projects show a large portion of people living with heart conditions, that they are not aware of. 
  
  Our Solution gives them an affordable and effective way to check or monitor their heart health condition. The patient, doctor or relatives can also access the generated report and trends of heart health, as well as see warnings of any future heart risks.

• Urban citizens with chronic conditions. (Heart health problems usually are a comorbidity to most chronic conditions). As an example, type 2 diabetes patients have a 2-3 times higher risk of developing heart disease as a secondary condition. These chronic patient groups need to be aware of their heart health. Doctors usually try to check them regularly, but it takes a lot of time and expenses. Remote event-based or long term (with a patch) heart health check-up and monitoring would allow doctors to access the generated reports with warnings.
  
  This would also reduce human error, as 11% of ECG readings are mismanaged by doctors.

UPOlife solution is a perfect fit for a busy urban citizen.

In the infographic above you can see our solution in action:

• Urban citizen (regular person or chronic patient) gets recommended by a doctor or decides himself to get access to one of our low-cost ECG devices (CE-marked) - he either buys, rents or gets access to them in public spaces where they can be integrated.
• 60-second measurement is done (with pocket-size device) or doctor's recommended chronic patient long term (3-7 days) monitoring by the chargeable patch is done.
• In any case data goes to validated CE-marked medical level algorithms to detect any abnormalities. Cloud analytics includes such sections as: Patented universal ECG score; myocardial damage analysis; syndromic ECG analysis; HRV analysis (stress, emotions, fatigue levels); minnesota codes for doctors; prognostic level analytics of heart health.
• Machine learning algorithms provide easy understandable dashboard in app or desktop. Visualisation shows unique heart health forecast ( 2 months in advance); Forms individual benchmark for each patient during the 7 day period; provides personalised recommendations and enables lifestyle changes by encouraging physical and mental changes with gamification elements.
• Product user has an option to connect with a professional nurse or cardiologist through a video call in the app itself.

Medical staff (Hospital) gets a patient database overview and sees who needs more attention and who is doing just fine. 

The solution enables effective heart health analysis access for urban citizens who can no longer afford to wait and pay for the top private doctor visits. These patients can now use low-cost remote monitoring devices and smart machine learning solutions to have a full heart health overview.

The software can outline the smallest inconsistencies in your heart readings and analyse them, as well as analyse your stress, emotions, fatigue, and other vital factors. 

Following these factors and trends, you can see how small lifestyle changes have an impact on your everyday feelings. 

In-app Lifestyle change promoting section uses such tools and breathing exercises, guided meditation, calm music (binaural beats) moments, as well as physical activity promoting tools with gamification elements.
Combination of the above-mentioned features would allow such a solution to be part of the countries healthcare system.

In the solution there are CE-marked hardware used, validated Cardiolyse algorithms, recommendation and suggested activity software, telemedicine videoconference solution. 

We are shifting the current healthcare model from sick care to fast, reliable and affordable early diagnosis, enabling patient self-management and supporting behavioral changes.

Our innovation is combining existing technology in a new application and on top of that adding a patented machine learning scoring system for heart health.

Prediction algorithm function, as well as personal baseline calculation using machine learning algorithms for 7 days, is our unique selling point. 

The solution as a whole is user-friendly, time-saving, affordable and convenient to use any time, any place for all parties involved (patient, nurse, doctor, supervisor, municipality)

Our innovative approach also includes a new focus group for our solution: general urban citizen who is 40+ years old. 
Till now we saw these people as warriors in their maximum capability, but in reality many of them suffer internally and end up in hospital too late.

UPOlife core technology has been developed over the years and consists of medical CE-marked hardware (ECG devices) and software, that includes medical CE-marked (Q4 2019) predictive algorithms, machine learning solution and other integrated components, such as telemedicine video calls, recommendations, gamification, etc. 

Hardware acts as a reading generator and subsequently, the raw data is analyzed through the algorithm spectrum.

Once the analysis is finished, the conclusion report / trends / recommendations / activity options are shown in a multiple ways:

• On a mobile friendly application;

• On a web-profile (usually through a computer screen), where the screen is larger, the data shown is dynamic, so multiple sections are viewable more at the same time;

• Raw data and analysis / reports can be sent to a destination (email), which can be a supervising cardiologist, general practitioner or patient himself.

Algorithms behind the solution have been validated in the Oxford University and used in space industry. Our solution brings it down to urban citizens where their heart health data can be gathered, analyzed and heart problems predicted.

For the first time users, their results are being calculated against average population norm, but within 7 days, they are adjusted to each individual user based on their individual level. This allows much more precise results for such indications as: stress, emotions, fatigue level.

Our solution addresses the fair access to affordable and effective health service (heart health evaluation) challenge.

We have done a lot of research to test and find the most usable and cost-effective hardware to address the “rising healthcare costs” issue.
There are current solutions out there which are 10 times more expensive and they still reach some population part.
So we see that offering a much more affordable solution our target audience could be reached more effectively.

To make it an effective solution, we have validated the software part on 20 000 citizens in rural areas outside Europe. 27 people lives where saved, and solution proved that offering people a cost-effective option for their heart health, they are very willing to participate. 
This year we have upcoming pilot of 10 000 European citizens in urban areas who are not aware of the potential heart health issues they might have. 

Our colleague data from England shows that there are 2,4% people living with AFib condition in general. In England it makes 500 000 who live with this condition and they are not aware of that. It makes them a ticking time bomb.

Urban citizens are willing to participate if validated and cost-effective solution is offered to them with an educational information. And this is exactly our plan and the reason we cooperate with municipalities, local state hospitals, big pharma players, insurance companies, as all of us want to invest more in early diagnosis, not treating the outcomes.

As the end project is in pilot stage at this moment we only serve ourselves and friends for testing purposes - 20 people.

In one year, pilot project will be finished: 10 000 people + other clients and projects: another 10 000 people. In total: 20 000 people

In five years, using growth and scale strategies, we will meaningfully affect  1 000 000 people through our solution.

Technology concept is proven already. In 2019 our first pilot project / proof of concept in Latvia will be held with more than 10 000 urban citizens around the country. 

We have already included a strong Northern Europe telecommunication partner, World's top 10 Big Pharma player and World's most valuable company as a partner. They all are interested in life-changing healthcare solutions. 
Such a partner would allow us to scale and replicate the project in much more bigger volumes and other locations where there is a need.

The concept of the solution is built so that it can be easily copied as a white-label platform with all hardware and technology in place to allow local municipalities, regions, countries implement such a solution by themselves.

Business-wise, we plan to partner with a franchisee company to allow private healthcare players to license the solution in their own country. This would also foster growth within the next 5 years.

These strategies and plans would allow us to directly impact the lives of 1 000 000 people within the next 5 years. 

Current barriers for the next year: 

• Financial support / grants for more pilot projects and proof of concepts in different regions;
• new technology adaption for involved parties (doctors, citizens, elderly citizens);
• User engagement;
• Government support policies for such solutions.

Current barriers for the next 5 years:

• Financial support for new development and fast scaling opportunities;
• Legal issues for the US market entry (FDA clearance);
• Local market adaptation challenges (Africa, Asia)

1) Financial support for pilot projects and proof of concepts: 

We make people and organisations aware of our solution. Solve is a great way to attract attention and support. We participate in competitions and attract strong partners and show the value for them as well to get them on board.

2) New technology adaption for involved parties:

We are part of educational system to inform and teach of such digital solutions that could be more effective that current systems. We get doctors and influencers on board. We make explanation videos and brochures.

3) User engagement:

Every new solution has this challenge nowadays. We add gamification element to our solution to engage users more. Give them value for taking care of their health - a potential cooperation potential with insurance companies and tokens on blockchain.

4) Government support policies:

We already work with local authorities and digital health cluster to foster the environment to be ready for digital health solutions. Local pilots and local hospital support is great tool to address this.

5) Financial support for new development and fast scaling:

Attract investors, financial and strategic partners. As soon as the first stages of financing and proof of concept are validates, this should no longer be an issue.

6) Legal issues for the US market entry:

Attract US based strategic partner / investor to address this challenge.

7) Local market adaptation challenges:

Attract local strategic partners, involve locale municipalities, use big pharma company network as a support tool.

Team:

Full time staff: 3

Part-time staff: 3

Contractors: 2

Partners who also support the project: 3

Advisors / Mentors: 3

Team members have been actively involved in a Digital & Disruptive Healthcare solution commercialisation for the last 5 years.

10 - 15 years of experience in business development activities, government and municipality project execution, marketing and strategy implementation. 

Top advisors involved from medical and machine learning areas.

Best cardiologists with digital technology understanding are involved as a part-time staff. 

We currently partner with the following organisations:

1. "Pauls Stradins Clinical University Hospital", Cardiology department - full support from best cardiologists in the country to run a pilot and implement such solution as ours;
2. Largest telecommunication operator in the country (LMT) - cooperation and technical support on a pilot project;
3. Microsoft - Data aggregation and technical support regarding healthcare data;
4. Bayer - Big pharma company support to address the patients with the right medication to solve their heart issues. Leveraging the representative network.

Our business model includes several options:

• B2G2C: We serve local governments and municipalities who then offer the end solution to their citizens. They buy the hardware needed and we provide the service (white-label or not) for a monthly subscription fee.
  
  In this case we provide full infrastructure and service, in return for huge cost-savings in healthcare budget. 
  
  As an example, our colleagues in England saved 1.3 mln pounds in one pilot project saving 32 lives, just with an AFib screening.

• B2B2C: In partnership cases we attract strategic partner (healthcare service provider, local hospital, insurance company). They have the network and access to potential patients, we provide the hardware and software as a service with MRR (monthly recurring revenue).
  
  Partners get access to low-cost and effective solution (white label or not) which allows them to avoid costs of cardiac treatment and allows to invest in early detection, lifestyle changes, etc.

• B2C: Our own projects where we address customers directly. In this case we rent or sell the hardware to our target audience and offer monthly subscription fee for a service (reports, analytics, trends, video consultations with doctors, gamification, etc). 
  
  We allow patients to save time and money on doctor visits in person, providing trusted solution they can rely on.
  
  Doctors on the other hand get a support tool, avoid human errors, save time on data analytics, gets access to more patients in need.

At this stage we use internal capital and attract grants for pilot projects and proof of concept.

Our next step in commercial projects with municipalities, hospitals, big pharma companies to raise more awareness.

Selling / Renting a device to end customer (patient / doctor / hospital / health care provider) and charging a monthly subscription fee for our service is solution that would allow us to cover our expected expenses.

At that point for stable growth and scalability we will attract external investment from a strategic partner, as well as offer our white label platform as a franchise to implement.

We see Solve as a stage to present our solution to the world, as well as a trampoline to faster growth!

You are the average between 5 peers you hang out with. We want to be a part of Solve peers, the next innovators with disruptive life changing ideas.

To tackle and overcome our mentioned barriers, we see huge value in Solve 12-month program, mentorship and strategic advice from your network.

We already see ourselves pitching our solution live to hundreds of leaders and experts in the UN General Assembly Week.
This opportunity would allow to expand our network, attract strategic partners, as well as smart investors to join the team.

To bring value to the partner organisations: World Health Organisation, United Nations, etc.

1) Google: Our solution used in Google infrastructure, embedded in Google wearables, Google Health, as well as monitoring Google employees to reduce stress-related burnouts and depression.

2) Abu Dhabi Ministry of Health / Health Authority: We have been in touch with them already before at earlier stage. Now we see is the right time to implement the solution, as in the UAE heart condition appear 10 years earlier that in Europe. 

3) Cleveland hospital: Perfect match for us, as Cleveland is No.1 Heart Hospital in the world. We are willing to have a joint pilot project with them.

4) Boston region hospitals, universities: Looking for pilot project opportunities in Heart Health area.

5) New Orleans Health Department: Looking for pilot project opportunities in Heart Health area.

6) Heart Institute of the Caribbean and HIC Heart Hospital: Looking for pilot project opportunities in Heart Health area. Strategic partnerships needed in this region.

7) United Nations (health division): Looking for pilot project opportunities in Heart Health area towards low-cost scaleable solution.

8) Africa Health Holdings: Looking for pilot project opportunities in Heart Health area. Strategic partnerships needed in this region.

9) Novartis: Several patient groups can benefit from our solution, like, chronic Diabetes Type 2 patients. Pilot project opportunity.

10) MIT(US and China): Looking for pilot project opportunities in Heart Health area. 

11) Rockefeller Foundation: AI Summit participation and pilot project opportunity.

Key parts of our solution are AI & ML algorithms.

The Patrick J. McGovern Foundation support would allow us to move forward faster, scale our solution and invest more in AI to achieve our goal of improving the lives of individuals and societies through neuroscience research and information technology.

We would find a huge value being part of Innospark Ventures portfolio and having access to world class mentors. 

Our solution utilizes heart health data of our users / patients. Data is sourced through our trusted ECG devices, analysed by API algorithms which do not store any data records. Our own data base is stored on Microsoft Azure cloud with highest data safety profile and all GDPR rights. Data owners (patients) have full control over their data. Data will not be shared with 3rd party unless data owner sends this type of request.