About
RobotDreams® GmbH is developing an AI-based software for the diagnosis of cardiovascular diseases using blood tests. The software can be easily integrated into the laboratory system, while patient data will not leave the laboratory in any form, to ensure the highest level of data protection.
PROBLEM
Cardiovascular disease is the number one cause of death in the European Union, with around two million deaths. It is estimated that cardiovascular disease costs around €196 billion per year in Europe alone. Especially in an emergency, expensive and inaccurate diagnoses hinder timely and effective medical care.
SOLUTION
In an emergency, RobotDreams® GmbH offers a very simple and inexpensive solution using artificial intelligence. AI-based software will analyze the blood in a few seconds during an initial routine examination and classify the diagnosis very accurately. This saves valuable time and patients receive timely and effective treatment.
Product
The software is installed free of charge as a modular platform and is continuously expanded with new modules. Each module will take over a specific diagnosis. We plan to market the product as Software as a Service (SaaS). You do not have to buy anything and only pay for as many analyses as you actually use.
First Module
Acute Coronary Syndrome
Approximately 9.8 million people visit emergency rooms in the EU every year [1]. The assessment of patients admitted with acute chest pain is time-consuming and expensive, while a significant proportion of these patients do not actually suffer from acute coronary syndrome (ACS). Risk stratification usually takes place in the emergency department, and its primary goal is to identify or rule out life-threatening conditions such as heart attack. The traditional approach to assessing patients with suspected ACS is based on three criteria: Assessment of clinical symptoms, electrocardiographic findings in the recording ECG and measurement of cardiac troponin.
If the ECG is inconclusive, risk assessment and decision-making can be difficult in traditional work-up programs and the determination of cardiac troponin levels is highly time-dependent. As a result, up to 13.5% of patients having unspecified chest pain are hospitalized unnecessarily and up to 2% of ACS are missed [2], which is associated with a twofold increase in 30-day morbidity and mortality [3].
Team
ULRICH Weigelt
Ulrich is Co-Founder and CEO of RobotDreams®. He is responsible for the management and global growth of the company. Ulrich has more than 30 years of management and leadership experience in the market for eLearning and performance support software products. Most recently, he was Senior Vice President at "PRE-A Process Robotics Easy Automation GmbH" in Berlin, where he was responsible for global business development. Ulrich was significantly involved in the success stories of various start-ups.
DIMA Shulkin, MSC
Dima is Co-Founder and CTO of RobotDreams®. Dima completed his Master's degree in Computational Engineering at HAW Hamburg. For more than 10 years, he has developed AI-based solutions in the aerospace, automotive and IT industries for global players such as Airbus, Schaeffler and Fujitsu. Dima has received several awards for his AI projects, including the Aviation Newcomer Award, the Franz Herbert Spitz Award and the Fujitsu Distinguished Engineer Award.
ALexander schwarzfurtner
Alexander is the COO of RobotDreams®. After 20 years in the semiconductor industry, Alexander successfully sold his company shares in 2022. He founded his first company in 2008. He was able to build a start-up into a global player within 10 years. He was responsible for the development and production site there until it was sold. His strengths lie in his strong entrepreneurial mindset and his enjoyment of leadership responsibility as well as building the necessary structures in a growing organization.
Prof. Dr. Rer. nat Aleksandr Pushkin, MD
Prof. Dr. rer. nat. Aleksandr Pushkin is the originator of the idea and co-inventor of the RobotDreams® method. Aleksandr heads the laboratory of the Multidisciplinary Hospital in St. Petersburg. In 2020, he received the academic title of Associate Professor in the Department of Clinical Laboratory Diagnostics at St. Petersburg State Medical University, where Aleksandr teaches clinical laboratory diagnostics with a course in molecular medicine.
Dr. joseph doolittle
Dr Joseph Doolittle is the mathematician behind RobotDreams®. Joseph is originally from the US state of Virginia. He studied mathematics at the University of California, San Diego and received his PhD in mathematics from the University of Kansas in 2019. His dissertation focuses on the combinatorics, geometry and topology of politopal complexes. In recent years, Dr Doolittle has worked as a research assistant at both the FU Berlin and TU Graz. His research focuses on high-dimensional problems and the structures that arise when analysing them. He has co-authored several peer-reviewed articles that have been published in renowned journals such as "Mathematika" and "Discrete and Computational Geometry".
Philipp Robin
Philipp Robin is the working student of RobotDreams®. Philipp has been a human medicine student at the Medical University of Graz in cooperation with the JKU Linz since 2023. He previously studied medicine for a year at the University of Pécs in Hungary. Robin originally comes from Germany, where he obtained a Bachelor's degree in International Business as a dual student of Mercedes-Benz Group AG (formerly Daimler AG) at DHBW Stuttgart in 2022.
MARYAM HAGHDOUST
Maryam Haghdoust is a junior data scientist with a background in computer engineering, currently pursuing a Master’s in Artificial Intelligence and Cybersecurity at The University of Klagenfurt. She previously worked as a Junior Data Scientist at IranKish Credit Card Co., focusing on merchant segmentation and developing a neural network-based fraud detection prototype. Her internship at Huawei Technologies involved improving operational efficiency through database automation and network monitoring. Maryam is skilled in Python, TensorFlow, and PyTorch, with experience in neural networks, time series forecasting, and natural language processing.
Advisory Board
Prof. Andreas Zirlik, MD
Prof. Andreas Zirlik, MD, is the Professor of Internal Medicine and Cardiology at the Medical University of Graz and Head of the Clinical Division of Cardiology at the University Heart Center Graz. He completed a postdoctoral period funded by the German Research Foundation (DFG) at Brigham's Women's Hospital of Harvard Medical School in Boston, USA. Subsequently, after his return to Freiburg, he founded the research group Atherogenesis Freiburg. Prof. Zirlik is acting president of the German Society for Atherosclerosis Research, chairman of the Working Group Heart and Diabetes of the German Society of Cardiology and ex officio member of the board of the Austrian Society of Cardiology.
Dr. christian pfandl
Dr. Christian Pfandl can look back on over two decades as a lawyer. He graduated from the Karl-Franzens University in Graz in 1996 with a doctorate in law. With his law firm Aschmann & Pfandl, Dr. Christian Pfandl has made a name for himself beyond Graz. He specializes in corporate law, company law and M&A. In addition to his main activity in the law firm, Pfandl is also active as a member of the supervisory board and board of trustees. He also gives lectures on insolvency and intellectual property law.
ASSOZ. Prof. Heiko Bugger, MD
Prof. Heiko Bugger, MD, is a senior physician in the Clinical Department of Cardiology and Professor of Cardiovascular Immunology at the Medical University of Graz. Prof. Bugger received his scientific training, among others, at the Yale School of Medicine and during a multi-year postdoctoral fellowship at the University of Utah School of Medicine. From 2009 to 2018, he worked in the Department of Cardiology and Angiology at the University Heart Centre Freiburg-Bad Krozingen, where he habilitated and worked as a senior physician until his last position, before moving to the Medical University of Graz. Prof. Bugger has published numerous scientific papers and has received several awards for his work. He is a reviewer for renowned journals and funding organisations such as the European Research Council and the German Research Foundation.
Partners & Funders
Contact
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