FEDERAL FOUNDATION FOR

IMPACT INVESTING IN AUSTRIA

Our focus is on the research and development of new technologies in collaboration with strong partners in the Austrian healthcare system.

The world is undergoing fundamental and radical changes. At the same time, new technologies are unlocking unprecedented opportunities to find sustainable and innovative solutions. This is precisely where our VENTURE PHILANTHROPY INVESTING approach comes into play.

By investing in the future of healthcare, we aim to ensure high-quality care.

Monitoring and further development of innovative digital solutions

Implementation of AI systems to provide accurate diagnoses and improved therapies

Innovative medical projects with experts from the Austrian healthcare system

Current projects

Health Care

Health Care

BIOBANK DATABASE

Innovation in cancer research

In collaboration with the Austrian Comprehensive Cancer Network (ACCN) and with the support of Harvard Medical School, the BIT is developing a groundbreaking cancer database based on artificial intelligence.

Health Care

VR Simulation of Tumor Formation

Revolutionizing Biomedical Data Visualization with Deep Learning and Virtual Reality. Deep learning has transformed biomedical research, but its potential for visualizing complex, high-dimensional data remains untapped. In our work, we combine cutting-edge deep learning techniques with virtual reality (VR) to address this challenge.

Health Care

WUND-APP

Digital solution for modern wound care

The WUND APP (www.wund-app.at) is operated in close cooperation with the Austrian Society for Digital Medicine (ÖGDM) in order to revolutionize wound care with digital tools.

Health Care

MEMBER OF THE ÖGDM

Austrian Society for Digital Medicine

The ÖGDM is an association dedicated to the promotion and development of innovative digital technologies in the healthcare sector. It is actively shaping the future of medicine with artificial intelligence, telemedicine and digital platforms.

Health Care

Expert Dashboard for Data Mining and Predictions

An expert dashboard has been developed, through which various health parameters can be examined and combined. This allows predictions for future development processes.

Health Care

Hematopoiesis and Leukemia Simulations

A mathematical model of the human hematopoietic system has been developed. This computer simulation provides novel insights into the genesis, development and treatment of leukemia.

Health Care

High-Dimensional Cancer Data Visualization

Biomedical data are increasingly high-dimensional. Frequently, such pictorial representations (data visualizations) lead to substantial insights into the structure of the data.

Health Care

Read Medical Reports and Reference

This instrument makes it possible to automatically recognize similarities in different medical reports, whilst preserving all personal rights of patients.

Health Care

DEEP LEARNING ON EEG RECORDINGS

The BIT is working on a system that allows the early detection of strokes through the analysis of EEG data.

Health Care

CANCER DATABASE

Monitor and strategically advance digital innovations

In collaboration with the Austrian Comprehensive Cancer Network (ACCN) and with the support of Harvard Medical School, the BIT is developing a groundbreaking cancer database based on artificial intelligence.

Health Care

PATHELA

AI-powered skin cancer diagnostics

Revolutionierung der biomedizinischen Datenvisualisierung mit Deep Learning und Virtual Reality.  Deep Learning hat die biomedizinische Forschung revolutioniert, doch sein Potenzial zur Visualisierung komplexer, hochdimensionaler Daten bleibt bislang ungenutzt.

Health Care

Read Medical Reports and Reference

Unlock the potential of data treasures

This instrument makes it possible to automatically recognize similarities in different medical reports, whilst preserving all personal rights of patients.

Health Care

High-Dimensional Cancer Data Visualization

Biomedical data are increasingly high-dimensional. Frequently, such pictorial representations (data visualizations) lead to substantial insights into the structure of the data.

Health Care

VR Simulation of Tumor Formation

Improve medical education

Revolutionizing Biomedical Data Visualization with Deep Learning and Virtual Reality. Deep learning has transformed biomedical research, but its potential for visualizing complex, high-dimensional data remains untapped. In our work, we combine cutting-edge deep learning techniques with virtual reality (VR) to address this challenge.

Health Care

Hematopoiesis and Leukemia Simulations

Improve medical education

A mathematical model of the human hematopoietic system has been developed. This computer simulation provides novel insights into the genesis, development and treatment of leukemia.

Health Care

WundApp

Empowering people with chronic wounds

The WUND APP (www.wund-app.at) is operated in close cooperation with the Austrian Society for Digital Medicine (ÖGDM) in order to revolutionize wound care with digital tools.

Health Care

Sponsor of the ÖGDM

Strengthening Austria as an innovative life science hub

The ÖGDM is an association dedicated to the promotion and development of innovative digital technologies in the healthcare sector. It is actively shaping the future of medicine with artificial intelligence, telemedicine and digital platforms.

Current projects

Privacy

Open science with secure data protection – our data protection developments are a solid basis for model calculations with Artificial Intelligence:

Data protection

BIT ANONYMIZER

Save time and prevent errors with AI

GDPR-compliant passing on of data to third parties and outside your own organization. Pass sensitive data protected by the BIT Anonymizer to researchers outside your own organization.

Health Care

DQ0 – Forschern Zugang zu geschützten Daten geben

With DQ0, a data owner can store highly sensitive digital information in a secure enclave and grant full access to third parties while maintaining privacy. The data remains with the owner.

Health Care

BIT Anonymizer

GDPR-compliant passing on of data to third parties and outside your own organization

Pass sensitive data protected by the BIT Anonymizer to researchers outside your own organization.