AI-DRIVEN DIAGNOSIS OF RARE (HIDDEN) DISEASES

Comprehensive clinical decision support system (SARAH platform) to support doctors in diagnosing rare (hidden) diseases. AI algorithms analyze patients' EHR i.e. laboratory, radiology, descriptive data, and provide clinicians with the ICD-10, rationale and recommendations. 

SARAH PLATFORM 

Users

Technology

Input data

Primary

care

Outpatient

specialist

Inpatient 

specialist

100% population

Triage

SARAH 

Primary

Care

  • Mix of AI-driven and rule-based algorithms

  • Internally developed rule-based tool

  • Full CBC

  • 3-5 biochemistry parameters (optional)

  • Radiology

  • 3-5 symptoms with or without features (also may be optional)

SARAH 

Outpatient

Specialist Care

  • AI-driven (supervised & unsupervised training) algorithms

  • Full CBC

  • 5-10 biochemistry parameters 

  • Radiology

  • 5-10 symptoms and their features

Diagnosis

SARAH 

Inpatient

Specialist Care

  • AI-driven (supervised & unsupervised training) algorithms

  • Full CBC

  • >10 biochemistry parameters 

  • Radiology

  • >10 symptoms and their features

~6-8% RD population

 

Comprehensive clinical decision support system in rare diseases (RD)

OUR FOCUS ON RARE DISEASES

Key facts
6-8% (550 mln) 

of global population suffer from rare diseases

50%

affected are children

7 000

rare diseases are known of

only 10%

of rare diseases have treatment

~5 years 

on average takes the diagnostic process of rare diseases from first symptoms

only 1 out of 8

patients with rare diseases is diagnosed & duly treated, many remain undiagnosed

Our current focus

Blood cancers

  • Lymphomas

  • Acute leukemia

  • Myeloma

  • Myelodysplastic syndrome

  • Chronic leukemias

  • Myelofibrosis

  • Thrombotic thrombocytopenic purpura (TTP)

  • Polycythemia vera

Hematological diseases

do wpisania

  • Mastocytosis

  • Immune thrombocytopenic purpura (ITP)

  • Paroxysmal nocturnal hemoglobinuria (PNH)

  • Essential thrombocythemia

  • Amyloidosis

Lysosomal storage diseases

  • Gaucher disease

  • Fabry disease

  • Pompe disease

Primary immune deficiencies

  • Common variable immunodeficiency (CVID)

  • Severe combined immunodeficiency (SCID)

  • DiGeorge syndrome

  • Chronic granulomatous disease (CGD)

  • other

 

OUR TEAM

Management
Medical
AI / Data Science
IT / Programming
Szymon_Piatkowski_Photo_—_KWDARAT.JPG
Szymon Piatkowski
CEO, Founder
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Prof. Grzegorz Basak
CMO, Founder
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Arkadiusz Sycz
Data Science Lead 
AI / Data Science
specialist
Szymon Wojdat
Programmer Lead,
Co-founder
Marta Koryga
Business Consultant
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Karol Lis, MD
Medical Director
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Piotr Przymus, PhD
AI / ML / Data Science
Senior Expert, Advisor
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Adam Przybyłek
Medical Database Lead,
Co-founder
Dominika Materka
Office Manager
Marek Dudziński, MD
Medical expert
Wojciech Amtmański
AI / Data Science
Michał Bruzdowski
Programmer, Tools Development  & Implementation Lead
Zdjecie Marta.png
Marta Dudek, MD
Medical expert
Adrian Michalski
AI / Data Science,
laboratory diagnostician 
Beata Ufnal
Medical representative
Jan Żuromski
Junior Database Developer
Maciej Winiarski
Data Science
… furthermore, we cooperate with ca 15 medical specialists in the field of rare diseases...
 

MEET SAVENTIC

OUR STORY

Healthcare industry faces challenges - exponentially growing knowledge, overwhelming number of medical data, growing number of patients with decreasing number of medical professionals, and computerization of everyday practice - all creates a need for innovative solutions re-establishing control over the situation.

OUR VISION

Saventic's vision is to provide healthcare services with the power of AI and support doctors via dedicated AI solutions in their every-day activities with patients. Our focus is on early diagnosis of rare (hidden) diseases including blood cancers, lysosomal storage 
diseases or immune disorders.

OUR TECHNOLOGY

Technology takes healthcare

services to undiscovered levels of detection and accuracy. We work in Python, R, Statistica, Java postgreSQL and others. Techniques include among others: CNN, deep learning, SVM, multi-classification,

patterns recognition, etc.

 

OUR TEAM

Management
Medical
AI / Data Science
IT / Programming
Szymon_Piatkowski_Photo_—_KWDARAT.JPG
Szymon Piatkowski
CEO, Founder
Zdjecie Grzegorz.png
Prof. Grzegorz Basak
CMO, Founder
Photo Arek Sycz.png
szymonwojdat (1).jpg
Arkadiusz Sycz
Data Science Lead 
AI / Data Science
specialist
Szymon Wojdat
Programmer Lead,
Co-founder
Marta Koryga
Business Consultant
Karol Lis.jpg
Karol Lis, MD
Medical Director
Zdjecie Piotr.png
Piotr Przymus, PhD
AI / ML / Data Science
Senior Expert, Advisor
Przybyłek.jpg
Adam Przybyłek
Medical Database Lead,
Co-founder
Dominika Materka
Office Manager
Marek Dudziński, MD
Medical expert
Wojciech Amtmański
AI / Data Science
Michał Bruzdowski
Programmer, Tools Development  & Implementation Lead
Zdjecie Marta.png
Marta Dudek, MD
Medical expert
Adrian Michalski
AI / Data Science,
laboratory diagnostician 
Beata Ufnal
Medical representative
Jan Żuromski
Junior Database Developer
Maciej Winiarski
Data Science
Paulina Jasińska
Junior Database Developer
… furthermore, we cooperate with ca. 15 medical specialists in the field of rare diseases...

OUR PARTNERS

Pharmaceutical industry
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Medical services providers
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Sw. Jadwiga Królowa Hospital in Rzeszow

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Mikolaj Kopernik Hospital in Torun

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Janusz Korczak Hospital in Slupsk

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Foundations & Patients association
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NEWS

September 2021

July 2021

May 2021

Saventic Health incorporates Saventic Foundation, first of its kind with a dedicated application for patients looking for a diagnosis, with health problems lasting more than 6 months and yet unexplained; check more on: www.fundacjasaventic.pl

April 2021

Happy to share that our team expanded to 20 professionals, representing a mix of experience in healthcare, pharma, data science, artificial intelligence, IT and management.

January 2021

We have received a grant from The National Centre for Research and Development to further develop our portfolio of AI-driven algorithms to diagnose rare diseases. Project title: “Our project is entitled Elaboration and implementation of an innovative, machine-learning-based diagnostic process to shorten the patient’s pathway and improve quality of care of patients with lympho- and myeloproliferative disorders”.

December 2020

November 2020

September 2020

January 2020

December 2019

We are among top 10 healthcare AI service companies in Europe according to Healthcare Tech Outlook, Healthcare Technology Knowledge Network 

November 2019

October 2019

September 2019