AI-driven diagnosis of rare diseases

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

CEO, Founder

Prof. Grzegorz Basak

CMO, Founder

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

… 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.