
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) Saventic Med Platform – for medical clinics and physicians, (ii) Saventic Care 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
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)
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
OUR FOCUS ON RARE DISEASES
Key facts
6-8% (550 mln)
of global population suffer from rare diseases
>7 000
known rare diseases
50%
affected are children
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
Metabolic
Immune system
Cardiology
-
Blood cancers (various including, mastocytosis and myelofibrosis)
-
CTCL
-
TTP
-
PNH
-
Castleman
-
ITP
-
HLH
-
PNH
-
Gaucher disease
-
Fabry disease
-
Pompe disease
-
HAE
-
MPS 1
-
MPS 2 (Hunter)
-
MPS 3
-
Common variable immunodeficiency (CVID)
-
Severe combined immunodeficiency (SCID)
-
DiGeorge syndrome
-
Chronic granulomatous disease (CGD)
-
Amyloidosis AL
-
Amyloidosis ATTR
..... and many others diseases .....
do wpisania
OUR TEAM
IMPLEMENTATION
SAVENTIC MED PLATFORM - FOR PHYSICIANS AND MEDICAL CLINICS
-
Saventic Med Platform with AI-driven algorithms is implemented in 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
SAVENTIC CARE 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.
-
Saventic Care is promoted in online & offline media.






Patient actively looks for help (e.g. specialist) and finds Saventic Care
Online platform allows to fill-in questionare & attach medical data
Co-ordinator verifies data completeness, may ask for extra data
Algorithms analyze data and indicate the most likely rare disease
Patient referred to the specialist to continue the process
Provision of reports with statistics & efficacy of the algorithms
30 days
OUR PARTNERS


Pharmaceutical / biotechnology industry


Not all disclosed due to confidentiality reasons
Medical services providers
Foundations & Patients' associations










