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
CEO, Founder
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
Karol Lis, MD
Medical Director
Piotr Przymus, PhD
AI / ML / Data Science
Senior Expert, Advisor
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
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
CEO, Founder
Prof. Grzegorz Basak
CMO, Founder
Arkadiusz Sycz
CTO,
AI / Data Science
specialist
Szymon Wojdat
Programmer Lead,
Co-founder
Marta Koryga
Business Consultant
Karol Lis, MD
Medical Director
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 Cieślewicz
Junior / Mid Python Software Developer
Beata Ufnal
Key Account Manager
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).
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
-
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
Medical services providers
Sw. Jadwiga Królowa Hospital
Nicolaus Copernicus Hospital
Janusz Korczak Hospital
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Foundations & Patients' associations
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