AI-DRIVEN DIAGNOSIS OF
RARE (HIDDEN) DISEASES

Our mission is to support all market stakeholders in diagnosing patients with rare diseases for clinical trials, treatment or patients’ monitoring. Developed algorithms, that analyse EHRs, are implemented on our platforms: (i) SARAH Platform – for medical clinics, (ii) VIRTUAL CLINIC Platform – for patients.

OUR PRESENCE

Canada (Calgary)

USA (Boston)

Germany (Leipzig/Berlin)

Poland/CEE (Warsaw)

Brazil (Sao Paulo)

Comprehensive solutions to diagnose rare diseases

Inverted pyramid approach enables data structuring and patients' pathway optimization

100% population

Users

Input data (EHRs)

Output data (for MDs*)

Primary

care

Outpatient

specialist

Inpatient

specialist

Triage

Diagnosis

Primary

Care

Complete Blood Count
Optional: Biochemistry
Optional: Limited interview notes, physical examination (converted into 5-10 symptoms)

Outpatient

Specialist Care

Complete Blood Count & Biochemistry parameters
Interview notes, physical examination, radiology (converted into 8-15 symptoms)
Optional: ICD-10, drugs

CBC irregularities
Suggested interview & physical examination
Likely disease (segment)
Suggested tests & specialists' consultations

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

Rar diseases

OUR FOCUS ON RARE DISEASES

Key facts

6-8% (550 mln)

of global population suffer from rare diseases

50%

affected are children

>7 000

known rare diseases

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 and bone

marrow diseases

Blood cancers (various including, mastocytosis and myelofibrosis)
CTCL
TTP
PNH
Castleman
ITP
HLH
PNH

Metabolic

Gaucher disease
Fabry disease
Pompe disease
HAE
MPS 1
MPS 2 (Hunter)
MPS 3

Immune system

Common variable immunodeficiency (CVID)
Severe combined immunodeficiency (SCID)
DiGeorge syndrome
Chronic granulomatous disease (CGD)

Cardiology

Amyloidosis AL
Amyloidosis ATTR

do wpisania

Featured

OUR TEAM

Global

Szymon
Piątkowski
CEO/Founder

Prof.
Grzegorz
Basak
CMO/Founder

Joanna Jarmoc
Business Development

Poland/CEE

Karol Lis, MD
General Manager/Founder

Marek Dudziński, MD, PhD
Medical Director/Founder

Adrian Michalski Technology Director

Brazil

Henrique Malina
General Manager

Business & Operations

Germany

Maciek Klein
General Manager

AI / Data Science

US/Canada

Szymon Piątkowski
Interim

IT / Programming

Maciej Majewski

Bloodlab Product Lead

Karolina Popławska

HR Manager

Mateusz Firlej

Business Analyst

Marta Koryga

RD Virtual Clinic Product Lead

Dominika Materka

Office Manager

Szymon Okoniewski

Business Analyst

Wojtek Amtmański

Data Science Specialist

Piotr Przymus, PhD

AI Advisor

Alina Baranowska

Junior Data Scientist

Arkadiusz

Sycz

ML Engineer Lead

Marta Osińska

Junior ML

Engineer

Aleksandra Kaczmarska

Junior Data Scientist

Michał Bruzdowski

Lead Programmer

Dawid Cieślewicz

Mid Software Developer

Bartek Bruzdowski

Databases specialist

Paulina Jasińska

Database interface

Medicine

Beata Ufnal

Head of Medical Partnerships

Sara Zawadzka-Leska, MD

Medical expert

Publications, R&D

Michał Dąbrowski, PhD

R&D Publications

Michał Kloska

R&D Publications

Anna Kloska

Junior Data Scientist

Adam Bielniak

Mid ML

Engineer

Agnieszka Sowa-Latos

Medical Partner Consultant

Emilia Krupiczojć

Medical Content Creator

Magdalena Fijałkowska

Medical Content Creator

Joanna StankiewiczMD

Medical expert

Marcin Rymko, MD, PhD

Medical expert

Anchor 1

Contact

IMPLEMENTATION

SARAH PLATFORM FOR MEDICAL PROVIDERS

SARAH Platform with AI-driven algorithms is implemented in medical clinics.
Integration with existing database (pre-defined tables' format).

Signing an agreement with a medical clinic, team organization

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

Workshops with clinics' physicians to re-train NLP algorithms

Algorithms' implementation locally based on data fully anonymised

Organization of diagnostic process of selected patients

Provision of reports with statistics & efficacy of the algorithms

3-6 weeks

SARAH VIRTUAL CLINIC PLATFORM 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.