• No results found

Remote Diagnostics, AI (Artificial Intelligence), DL (Deep Learning) as Answers

N/A
N/A
Protected

Academic year: 2021

Share "Remote Diagnostics, AI (Artificial Intelligence), DL (Deep Learning) as Answers"

Copied!
34
0
0

Loading.... (view fulltext now)

Full text

(1)
(2)

Agenda

Challenges for Modern Medicine

Remote Diagnostics, AI (Artificial Intelligence), DL (Deep Learning) as Answers

Healthnomic – the Company Offering Remote Diagnostics of Civilization Diseases

Healthnomic – Resources

Why Do We Start with Telemedicine Diagnostics?

Plans for 2021

Future

02

(3)
(4)

Civilization

Diseases

increased the number of people suffering from obesity since 1975

04

Projected number of deaths caused by cardiovascular diseases

in 2017-2030 (M people)

17,90

23,70

Source: Heart Disease and Stroke Statistics — 2018 Update, American Heart

CAGR:

2.2%

2019 2024

3 times

39%

5,7%

people over the age of 18 suffered from obesity in 2016

of the adult population suffered from

(5)

COVID-19 Pandemic

Since 2019, the dynamic spread of the coronavirus causing the COVID-19 disease has begun.

Over 51 million people have contracted the disease worldwide, and the number is growing

rapidly.

SARS-CoV-2 and similar pathogens pose a threat to life, especially for the elderly and those with

chronic diseases.

The pandemic has shown that health systems are overburdened and there is a shortage of

medical personnel.

Therefore, we observe the need for automation, digitization and development of remote

services in order to increase the efficiency of the system and to relieve it.

Humanity is exposed to further pandemics, which is why it is a great opportunity for

the development of telemedicine solutions and companies implementing new technologies in

medicine.

Thanks to the dissemination of such solutions, it will be possible to reduce the risk of

infection with the coronavirus and similar pathogens by people whose life and health are

particularly at risk.

(6)

Challenges Facing Medicine

06

The pandemic showed that health systems are overburdened and there is a shortage of physicians. In

addition, civilization diseases in combination with the coronavirus increase the risk of serious symptoms

during infection. Demographic changes

As a result of the challenges facing

medicine, it appeared the demand

for professional medical entities

offering both diagnostics as well as

conducting the full treatment

process remotely using modern

technology.

COVID-19 disease

pandemic

Cardiovascular diseases and cancer are the most common cause of death in the world. According to WHO, nearly 24 million people worldwide may die of

cardiovascular disease in 2030. Increase in the number of deaths as a result of civilization diseases

In 2017, the world’s population aged 60 and above was 962 million, and by 2050 it is expected to increase to

(7)
(8)

Cardiovascular diseases and cancer which are the most common cause of death in the

world

Demographic changes

COVID-19 pandemic and future epidemiological

crises.

Artificial Intelligence, AI

Deep Learning, DL

The answer is comprehensive telemedicine systems using

technologies such as: The modern medical

market is facing a number of challenges

(9)

2,24

17,02

Projected value of the global market for AI solutions in medicine in 2019-2024 (USD billion)

Source: The Artificial Intelligence in Medicine Market Growth, Trends and Forecasts, mordorintelligence.com

40,02%

CAGR:

Projected value of the global market for DL solutions in 2017-2023 (USD billion)

2,28

18,16

Source: Deep Learning Market by Offering - Global Forecast to 2023 , Markets and Markets

41,7%

CAGR:

2019 2024

2017 2023

In the near future, the popularity of AI/DL technology in medicine will

grow dynamically.

The vast majority of diagnostic solutions available in Poland use technologies from over

10 years ago.

(10)

Healthnomic - the Company Offering

Diagnostics of Civilization Diseases

(11)

11

Professional medical entity offering:

1. Remote diagnostics and treatment of civilization diseases, 2. Development and integration of a proprietary telemedicine

platform in various diagnostic models.

Diagnostics Treatment Development and integration of OmniHealth environment Obstructive Sleep Apnea Cardiovascular

diseases CPAP, EPAP

New, innovative treatment methods Own systems development Integration with external systems COPD patient monitoring Cardiovascular patient monitoring

(12)
(13)

CEO, Founder

Dariusz Głogowski, MD, MBA

A graduate of the Faculty of Medicine at the Medical University of Łódź and MBA studies at the University of Denver, Colorado. Experienced senior manager and business leader with extensive experience in the pharmaceutical industry. Walked the path from the representative to the General Manager in Polish and

international companies. Managed the companies Alvogen Poland and Alvogen EU Cluster, Farma-Projekt,

PharmaSwiss Poland.

Team

13

Head of Medical Department

Aleksandra Jarecka-Dobroń, MD, PhD

Internal medicine specialist, in 2019 she defended her PhD thesis on Obstructive Sleep Apnea and related arrhythmias with distinction. In Healthnomic is handling medical

consulting in the field of ongoing and planned projects, analysis and description of examinations. Consults physicians and patients with results of carried out examinations.

Head of Customer Support Department Ewa Puchalska, MA, BEng

Obtained a master’s degree in engineering at the Faculty of Mechatronics of the Warsaw University of Technology, graduating in Biomedical Engineering, Medical Apparatus major. Responsible for contact with foreign business partners and for polish partner clinic supporting. Before joining Healthnomic, worked in the international trading company Magnesia GmbH in Germany.

Head of Service and Device Development Department Piotr Różalski, MA, BEng

A graduate of the Electronics Faculty at the Warsaw University of Technology, Electronics and Computer Science in Medicine major. Responsible for the production and proper operation of devices offered by Healthnomic and supervises new products development.

Head of Software Development Department Aleksander Cudny, MA, BEng

A graduate of Biomedical Engineering at the Faculty of Mechatronics of the Warsaw University of Technology. Handling the development of algorithms using Deep Learning and Artificial Intelligence technologies. Has been involved in professional software development for 5 years, especially in Python. Before joining our company worked at the European Center for Nuclear Research CERN in Geneva.

(14)

Scientific

Council

14

Krzysztof J. Filipiak, MD, PhD

Physician, academic teacher, cardiology, internal medicine, hypertensiology and clinical pharmacology specialist, former vice-rector of the Medical University of Warsaw, chairman of the Medical Sciences Discipline Council of the Medical University of Warsaw, past president of the Polish Society of Hypertension.

Robert Pływaczewski , MD, PhD

Physician, academic teacher, professor of the Tuberculosis and Lung Diseases Institute in Warsaw, internal diseases and lung diseases specialist, chairman of the Breathing

Disorders in Sleep section of the Polish Society of Lung Diseases, head of the Sleep Laboratory at Tuberculosis and Lung Diseases Institute in Warsaw.

Agnieszka Mastalerz-Migas, MD, PhD Physician, academic teacher, family medicine specialist, head of the Family Medicine Department at the Medical

University of Wroclaw, president of the Polish Family Medicine Society, national consultant in the field of family medicine.

(15)

Known

Customers

15

240

facilities

over

2,2 M

patients

over

2 000

facilities over

0,7 M

patients

We are in commercial cooperation with the companies above. We're reaching out to new partners.

(16)

Healthnomic’s Resources

16

Medicine and pharmacy – sales, marketing, reimbursement, support from the

medical society, enterprise management

Know-how in the field of telemedicine and medical data processing Experience in implementing cloud medical systems

Lung Diseases, Cardiology, Family Medicine Biomedical engineering

Computer Science – use in medical devices

Management of public companies, fund raising

Szef Działu Rozwoju Oprogramowania

mgr inż. Aleksander Cudny

Absolwent Inżynierii Biomedycznej na Wydziale Mechatroniki

Politechniki Warszawskiej. Zajmuje się opracowywaniem algorytmów wykorzystujących technologie Deep Learning oraz Artificial Intelligence. Od 5 lat zajmuje się profesjonalnym rozwojem oprogramowania,

szczególnie w języku Python.

Przed rozpoczęciem pracy w naszej firmie, pracował w Europejskim Centrum Badań Jądrowych CERN w Genewie.

(17)

Scalability of the solution – a system capable of handling thousands of tests performed

simultaneously

Cutting edge user interfaces

Lowers the operational cost, while maintaining high efficiency and service quality

Multi-lingual, easily translatable system

Innovative Telemedical System

06

17

(18)

18

Time saving for doctors and patients thanks to examination and diagnostics automation

Easy to add brand new medical technologies

Lower costs without comprimising quality

More space for doctor – patient relation building

Cloud solutions integration

Easy to buy equipment and/ or subscribe services

(19)

06

Healthnomic Environment — Algorithms

19

Algorithms OSA

initial signals filtering detecting body position changes, abdomen and chest

movements

detecting saturation drops detecting dyspnea and apnea, indicating the types of the above

detecting snoring episodes

HRV analysis

detection of heart rythm and conduction disorders artifacts detection – in progress

QT analysis – in progress initial signals filtering

indication and classification of QRS complex

detection of ventricular and supraventricular arythmias

and atrial fibrillation

(20)

The aim of Healthnomic is to create an integrated platform for remote diagnostics.

In the II and III stage, the company plans to cooperate with external partners offering

telemedicine systems. Then, the universal platform will be established, offering the tools to

remotely monitor patients well being and smartly coordinate the disease management process.

Healthnomic platform OmniHealth

06

20

External systems System No N

(21)

04

Automated diagnostics

Development of DL and AI technologies algorithms will limit the workload for doctors and technicians

Artificial Intelligence

Systems that mimic human cognition on task assignments, can improve

their effectiveness on the basis of gathered experience.

Deep Learning

Process when the computer is learning how to perform

tasks natural for human brains like the speech

recogniition, picture identification or forecast

generating.

Own Algorithms Development

21

(22)

Rozwój własnych

algorytmów

Why Do We Start with

(23)

Why Do We Manage Obstructive Sleep Apnea

(OSA)?

Very common disorder – 4-7% (exactly like type 2 diabetes) of adults population, more often men, circa 2,6 M patients in Poland, oftenly undiagnosed

The most important risk factor – obesity, age

The most important complications: hypertension, traffic accidents, depression, potency disorders, ischemic heart disease, sudden death

Hospital polisomnography – annual max capacity 20-30 k. patients

Outpatient poligraphy as good as hospital polisomnography at majority of patients Standard CPAP treatment often poorly tolerated by patients

Very low OSA recognition among doctors Very low OSA recognition in the society

(24)

24

OSA — OUR BUSINESS MODEL

We educate doctors with multimedia remote courses Education will enable promotion of our solution

For individual doctors - out-patient OSA diagnostics as a service ordered by doctor for the patient - model BtC For out-patient clinics - purchase our equipment and subscribe to our services - model BtB

We propose well tolerated EPAP treatment (currently not present in Poland), effective in majority of patients Additionally we propose CPAP tratment

We have a well checked medical device, we are preparing also a brand new device We have an access to the net of medical representatives

(25)

In the II stage we will propose out-patient OSA diagnostics as a service ordered directly by the patient Additionally we will propose EPAP treatment purchase directly by the patient

Implementation depends only on problem recognition growth in the society

We will introduce 2 similar business models in partnering countries, where we are searching for distributors

OSA — OUR BUSINESS MODEL

(26)

Planned

Revenue Sources 2021

26

OSA diagnostics as a service.

Promotion to doctors. Sales of services and equipment. Promotion to out-patients clinic.

EPAP sales. Monitoring disease. Management effects.

COPD patient monitoring. Holter-ECG.

B2C

B2B

(27)

Foreign Expansion 2021

27

Because HEALTHNOMIC solutions brings breakthrough value worldwide we are

planning promotion of our services abroad.

We are planning to participate in international congressess

Medica, Dusseldorf

(28)

Strategic Aims 2021

28

Above

20 000

Circa

2 000

Above

2 000

30

OSA tests performed untill the end of 2021

doctors we are planning to cooperate with untill the end of 2021

medical devices we are planning to use untill the end of 2021

medical representatives will offer cooperation to doctors and

out-patient clinics

(29)
(30)

Planned Platform Development Directions

30

ApneaHealth CardioHealth

Holter-ECG further development. Implementation of detection and monitoring of patients with heart

diseases and stroke risk. Full hospital polisomnography

with detection of EEG and sleep cycles.

Works in progress both on moduls and algorithms.

Neuro systems diagnostics enabling analysis of EEG/ EMG/

EOG.

NeuroHealth PulmoHealth

COPD patients monitoring. Early detection of exacerbation of the disease

Monitoring of disease management and

(31)

Patients Telemedicine Environment CardioHealth NeuroHealth ApneaHealth ECG diagnstics ... Equipment data Data

Results Orders Diagnosis Patients and tests data

Test data + patients data Diagnosis Patients cards + tests orders Reports External platforms P1 Platform Hospital and other systems Clinics Remote diagnostics equipment

OmniHealth Platform Potential

...

31

Modules for test description Diagnostic modul AI

Myocardial infarcion visualisation - 3D model Clinics data Administration moduls Tests results PulmoHealth Tests orders

(32)

Remote Diagnostics and Disease Management

We can manage every field of medicine where there is a need for remote diagnostics We have ready to use education model for health care professionals (HCPs)

We closely cooperate with medical society

We use OmniHealth platform which can be easily adapted to other fields of medicine We have ready to use business models

We have many years of experience and lots of enthusiasm and we are eager to work hard to achieve results

(33)

"Development Accelator" Model in Medicine

We search for interesting projects and to support authors

Authors are very often not familiar with financial and commercial aspects of ventures We offer business models and help with commercialization

We educate HCP, medical representatives and gain support from Opinion Leaders We are planning to create entities and lead them to stock exchange debut

We have all necessary people, tools and experience on board

(34)

Thank you.

Healthnomic S.A.

Dariusz Głogowski

CEO

phone: +48 601 827 374

e-mail: [email protected]

References

Related documents

If at any time a physician believes that a fine has been issued in error, the physician should notify the Chairman, Department of Medicine and the Vice President, Medical Affairs

dramatic conversion of rice paddy fields and increase in total impervious area (TIA) during the 317. urbanization campaign in the QRB since the

de los ítems, tanto cuantitativos como cualitativos. En una segunda fase, se modificó el cuestionario para ajustarlo a los resultados obtenidos. En la tercera fase se

We compared biodiversity and key ecological processes among maize, switchgrass, and prairie, three plant communities repre- senting distinct alternatives for use of marginal lands

[r]

The four-valve cylinder head shown in Figure 12 is made of a silicon aluminium alloy, using an SPM- low pressure manufacturing process, followed by thermal treatment to

Chapter Five: The distribution of endolysins amongst clinical isolates of Clostridium difficile Table 5.1: Sequences (listed 5'-3') of primers used for amplification of

The Departments forms part of an Academic Health Service with a Chairman, Vice Chairman, Clinical Operations, Vice Chairman, Education, and a Vice Chairman for Clinical