AI-DRIVEN DIAGNOSIS
OF RARE DISEASES
We are a med-tech company that creates artificial intelligence algorithms to support doctors in diagnosing rare (hidden) diseases early based on patients' medical records i.e. laboratory test results, radiology and other descriptive medical data.
SARAH PLATFORM WITH EASY-TO-INTEGRATE API
01 / Blood cancers
02 / Rare blood & marrow diseases
03/ Metabolic storage diseases
04 / Immune system disorders
05 / Skin & tissue diseases
06 / Other rare cancers
Step 1:
Medical data is sent to our SARAH platform via our API in pre-defined JSON format
Step 2:
Input data is analysed and provided to our AI algorithms to detect rare diseases
Step 3:
Feedback is provided directly to clinics' medical system & interface for physicians
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.
OUR TEAM
Szymon Piatkowski
CEO, Co-Founder
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IT / technology and managerial background (BS - Information Technology, MS - Finance&Banking)
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>15 years of international consulting experience, incl. Italy & the UK, former head of Big4 healthcare advisory practice in the CEE region
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Visionary & doer in digital health
Prof. Grzegorz Basak
CMO, Co-Founder
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MD and PhD degrees from Medical University of Warsaw, Specialist in internal medicine, hematology and transplantology
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Nearly 20 years of experience, since Oct 2018 Head of the Department of Hematology, Oncology and Internal Medicine at CSK UCK WUM in Warsaw
Szymon Wojdat
CTO, Co-Founder
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MS in Electronics and Computer Science in Medicine from Warsaw University of Technology
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4 years of professional experience, including 2 at Goldman Sachs Group, very enthusiastic about modern technologies, passion driven developer
Karol Lis
Medical Expert, Hematology
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MD degree from Collegium Medicum Jagiellonian University in Cracow
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Nearly 10 years of experience, PhD candidate at Warsaw Medical University at Hematology, Oncology & Internal Diseases Department
Dr Piotr Przymus
AI / ML Senior Expert
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IT education at Nicolaus Copernicus University (PhD, Assistant Professor)
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Nearly 15 years of experience in science & practice, Interest in machine learning and data mining, including artificial neural networks, deep learning
Marek Dudziński
Medical Expert
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MD degree from Medical Jagiellonian University in Cracow
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Over 20 years of experience, Deputy Head of Hematology Department at Rzeszów Voivodship Hospital and PhD candidate at Wroclaw Medical University
Dr Marta Dudek, PhD
Medical Expert, Oncology
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MD degree from Medical University of Warsaw, specialization in Clinical Oncology
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Nearly 10 years of experience, PhD in molecular biology (biochemistry), Institute of Biochemistry and Biophysics PAS
Adam Przybyłek
Data scientist
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BS from Warsaw University of Technology and MS in Computer Science from Cardinal Wyszynski University
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2 years of professional experience, including Polish Science Academy, interested in music (active saxophonist)
Arkadiusz Sycz
Data scientist
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Master student of Applied Mathematics at Wrocław University of Science&Technology (data engineering)
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Over 2 years of professional experience, interested in data mining, analysis of unstructured data, ML
CO-OPERATION
Let's create AI algorithm together
& commercialize it
We are open to create algorithms with medical providers, patients' organization, pharmaceutical companies in order to commercialize them via our SARAH platform
Let's commercialize your algorithm on SARAH system
If you have your own AI solution for healthcare and you consider commercializing it, we are ready to make it available via our clinical decision support platform accessible globally
Let's co-operate in creating algorithms for your business
If you consider creating AI solutions for your internal purposes, you don't need to create your own team to obtain data, perform data science / AI / software work, we can do it all for you
NEWS
September 2020
January 2020
December 2019
November 2019
October 2019
September 2019