Listen to your lungs

to detect early signs of disease before serious symptoms appear

LungPass is the world’s first low-cost AI-powered stethoscope for early detection and at-home self-management of respiratory conditions that affect millions around the world today

Imagine a world where we can have peace of mind or the ability to act quickly for those whom we treasure most, our children and our parents.

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how it works

Healthy Networks combines the experience of classical music-trained pulmonologists

and the reliability of objective diagnostic methods with the accuracy,

speed, and availability of modern digital technologies

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Medical expertise

A panel of Respiratory Professors educate the neural network ...

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Lung sound library

... by assessing recordings from the world's largest data set

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Neural network

Thanks to technology, their knowledge becomes available to everyone

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LungPass App

  • Follow app instructions to record your lung sounds with a stethoscope
  • Neural networks will precisely identify lung sound types present
  • Certain types correlate with specific conditions like pneumonia, asthma or COPD
  • To narrow these down, answer a few questions about your symptoms
  • A clear and comprehensive analysis of your respiratory health state will be displayed
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The user is not intended to take clinical action based on the device output without consultation of a qualified healthcare professional.

The advantages of our technology

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Evidence based

To increase credibility and reliability of LungPass sound analysis, we have been testing it against a sequence of objective tests like CT-scans, X-Rays, blood tests - with very positive results so far (clinical studies in progress).

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Condition focused

COPD, asthma, bronchitis, pneumonia, cystic fibrosis pose their unique challenges. LungPass was co-developed and tested with patients groups and clinicians to address those in a tailored way, spanning from usability and adherence issues to early detection of both exacerbations and acute conditions.

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Highly scalable

Simply put, it is by far the most affordable device capable of early detetioration detection of a wide range of respiratory conditions. Ideal wherever there is a shortage of healthcare resources and a large population.

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Status quo

Chronic respiratory conditions and lower respiratory infections affect over 500 million people and take over 6M lives each year. They force people out of work and social life. They cost billions.

The negative impact is predicted to increase with the growth and ageing of population

#1 reason

for pediatric emergency visits, at least 35% are unnecessary -

parents do not have tools to assess seriousness of their child acute condition, so they play safe

#2 cause

of hospital admissions are COPD exacerbations -

most patients miss early symptoms of deterioration which could have been treated at home, and only see a doctor when it has advanced

Changes ahead

Making detection of most common and deadly respiratory conditions precise and affordable for 7.5 billion people
LungPass is one simple device that alleviates pains of many. For parents, it reduces anxiety when their child is coughing and they worry about him developing a bacterial pneumonia or bronchitis. For people with chronic conditions, it only takes a few easy steps to detect exacerbation early, intervene and avoid hospitalisation. For payers, it has a potential to reduce their direct costs by at least 15%.
Our moonshot is to contribute to reduction in preventable deaths from pneumonia, COPD and asthma exacerbations.
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about us

LungPass has been developed by Healthy Networks OU, a team of data scientists, business developers and medical professionals driven by desire to make a lasting positive impact on world population health. Honoured to be backed up by extended network of Respiratory KOLs as well as regulatory, manufacturing and distribution teams who put multiple successful medical products on global markets.

Meet the team

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Helena Binetskaya

Helena Binetskaya

CEO, Co-Founder

“It all started when my baby girl had been coughing badly for weeks. When I took her to a clinic, she was seen by two specialists and got contradictory diagnosis based on the different lung sounds they heard, bronchitis being one of them. Turned out, it was just a nasal drip. So if lung sounds impact diagnosis and treatment, yet human hearing is far from perfect, could artificial auscultation make a stark difference in patient journey? And with that we started a company.”

Alexey Karankevich

Alexey Karankevich

CTO, Co-Founder

“I am in it to create the next big health solution. Dozens of studies prove that machines surpass humans in detecting fleeting body sounds, breaking them down with high reliability. It only takes a dedicated team to assemble the existing technology together and create a holistic solution millions will enjoy.”

Maksim Zyabko

Maksim Zyabko

CMO, Co-Founder

“What I find most exciting about LungPass is that people in less fortunate circumstances, those who, for whatever reason, can't afford traditional medical care can actually receive high standard advice through our service. That is truly inspiring.”

Yuliya Narushevich

Yuliya Narushevich

Software Engineer, Co-Founder

“Modern life is so busy that very often we can't find an opportunity to visit a doctor. One of the advantages of LungPass is its mobility, which buys you vital time when dealing with lung problems.”

Vitali Dubinetski

Vitali Dubinetski

Software Engineer

“LungPass for me is more than just a product. The underlying idea makes me feel proud to be part of the team. After all, we are trying to make medicine more qualitative and accessible, to build a better world.”

Elena Lapteva, MD

Elena Lapteva, MD

Chief medical advisor

Head of the pulmonology and phthisiology department of BelMAPO. Pulmonologist, PhD. Associate professor.

“We are set on achieving the highest accuracy of automated lung condition diagnosis and then using the system in our daily work. Both doctors and patients will benefit from LungPass greatly.”

Anatoly Laptev, MD

Anatoly Laptev, MD

Pulmonologist, PhD. Professor

Member of the pulmonology and phthisiology department of BelMAPO.

Valentin Korovkin, MD

Valentin Korovkin, MD

Pulmonologist, PhD. Professor

Member of the pulmonology and phthisiology department of BelMAPO.

Anastasia Pozdnyakova, MD

Anastasia Pozdnyakova, MD

Pulmonologist, PhD. Professor

Member of the pulmonology and phthisiology department of BelMAPO.

Irina Kovalenko, MD

Irina Kovalenko, MD

Pulmonologist. Associate professor

Member of the pulmonology and phthisiology department of BelMAPO.

Mansour Eljbour, MD

Mansour Eljbour, MD

Pulmonologist

Member of the pulmonology and phthisiology department of BelMAPO.

Elena Katibnikova

Elena Katibnikova

Department assistant

Member of the pulmonology and phthisiology department of BelMAPO.

Tatiana Skobeleva

Tatiana Skobeleva

Laboratory assistant

Member of the pulmonology and phthisiology department of BelMAPO.

Anatoly Gameza

Anatoly Gameza

Hardware Engineer

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