AI-DRIVEN DIAGNOSIS OF RARE (HIDDEN) DISEASES

Comprehensive clinical decision support system to support doctors in diagnosing rare diseases (SARAH Platform) or support patients in finding the appropriate specialist or medical clinic (Saventic Foundation). AI-driven algorithms analyze patients' EHRs (laboratory, radiology, descriptive data) and provide clinicians with the ICD-10, rationale and recommendations. 

Clinical decision support system in rare diseases

Inverted pyramid approach enables data structuring and patients' pathway optimization

Users

Input data (EHRs)

Output data (for MDs)

Primary

care

Outpatient

specialist

Inpatient 

specialist

100% population

Triage

Diagnosis

Primary

Care

  • Complete Blood Count

  • Optional: Biochemistry

  • Optional: Limited interview notes, physical examination (converted into 5-10 symptoms)

  • CBC irregularities

  • Suggested interview & physical examination

  • Likely disease (segment)

  • Suggested tests & specialists' consultations

Outpatient

Specialist Care

  • Complete Blood Count & Biochemistry parameters

  • Interview notes, physical examination, radiology (converted into 8-15 symptoms)

  • Optional: ICD-10, drugs

  • Identified symptoms & irregularities

  • Suggested diseases (group of diseases)

  • Rationale

  • Recommended next steps

Inpatient

Specialist Care

  • CBC & Biochemistry

  • Interview notes, physical examination, surgeries, treatment & other events

  • Radiology, histopathology and other tests

  • Other ICD-10, drugs

  • Identified symptoms & irregularities

  • Suggested disease

  • Rationale

  • Recommended next steps (e.g. type of genetic tests)

~6-8% RD population

 

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

~5 years 

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

only 10%

of rare diseases have treatment

only 1 out of 8

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

Our current focus

Blood cancers

Hematological
diseases

Lysosomal storage diseases

Primary immune deficiencies

do wpisania

  • Lymphomas

  • Acute leukemia

  • Myeloma

  • Myelodysplastic syndrome

  • Chronic leukemias

  • Myelofibrosis

  • Thrombotic thrombocytopenic purpura (TTP)

  • Polycythemia vera

  • Mastocytosis

  • Immune thrombocytopenic purpura (ITP)

  • Paroxysmal nocturnal hemoglobinuria (PNH)

  • Essential thrombocythemia

  • Amyloidosis

  • Gaucher disease

  • Fabry disease

  • Pompe disease

  • 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
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
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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
 

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
CTO,
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
Michał Bruzdowski
Programmer, Tools Development  & Implementation Lead
Dominika Materka
Office Manager
Marek Dudziński, MD
Medical expert
Wojciech Amtmański
AI / Data Science
Dawid 2.png
Dawid Cieślewicz
Junior / Mid Python Software Developer
Beata Ufnal
Key Account Manager
Sara.png
Sara Zawadzka-Leska, MD
Medical expert
Adrian Michalski
AI / Data Science,
laboratory diagnostician 
Paulina Jasińska
Junior Database Developer
… furthermore, we cooperate with ca. 40 medical specialists in the field of rare diseases...

IMPLEMENTATION

FOR MEDICAL PROVIDERS
  • SARAH Platform with AI-driven algorithms is implemented locally
    (no data is shared externally) in a medical clinic.

  • Integration with existing database (pre-defined tables' format).

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1​

Signing an agreement with a medical clinic, team organization

2

Preparation of datasets locally by the clinic (pre-defined tables)

3

Workshops with clinics' physicians to re-train NLP algorithms

4

Algorithms' implementation locally based on data fully anonymised 

5​

Organization of diagnostic process of selected patients

6

Provision of reports with statistics & efficacy of the algorithms

3-6 weeks

FOR INDIVIDUAL PATIENTS
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  • Online platform for: (i) patients actively looking for a diagnosis that can upload medical data, and (ii) RD specialists (medical council) to analyse it and refer patients to the appropriate specialist / clinic.

  • Foundation's website is promoted in online & offline media.

1​

Patient actively looks for help (e.g. specialist) and finds the Foundation

2

Online platform allows to fill-in symptoms map & attach medical data

3

Co-ordinator verifies data completeness, may ask for extra data

4

Algorithms analyze data and indicate the most likely rare disease

5​

Patient referred to the specialist to continue the process

6

Provision of reports with statistics & efficacy of the algorithms

6-8 weeks

 

OUR PARTNERS

Pharmaceutical / biotechnology industry
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NEWS

March 2022

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