DSRC Colloquium - March 28th, 2022 - Data Security and Mobility

Zoom Meeting Recording

Data Security and Mobility

Speaker: Shaul Kfir (Digital Asset)

Title: Cross-organization coordination - the use of blockchain and associated technologies to synchronize across organizations while maintaining data privacy

Abstract: The popularity of cryptocurrencies sparked the massive commercialization of multiple technologies that promise to help coordinate data and workflows across organizational boundaries while maintaining strong data privacy and operational controls. In this talk, we’ll cover some of these technologies, what problems they solve for companies and governments, and where they are in the adoption lifecycle.


 Dr. Aneta Lisowska, senior postdoctoral researcher at Sano Center for Computational Medicine and Poznań University of Technology

Title: Personalizing Digital Health Interventions with AI

Abstract: Digital health interventions (i.e., interventions implemented through digital technologies such as smartphones, websites, emails, wearable devices) have been shown to improve outcomes in patients suffering from chronic diseases, allow remote access to effective treatments and support changing health risk behaviors such as inactivity, unhealthy diet or substance abuse.

Machine learning (ML) is often used to personalize interventions. To facilitate intervention compliance and maximize its effectiveness, it is important to provide the right support at the right time.

In this talk, I will present recent work on designing and personalizing digital health interventions with case studied from the Horizon 2020 Cancer Patient Better Life Experience project (CAPABLE).  In particular, we rely on Fogg's behavior theory that states that habits are formed when people are motivated, have the capability of performing the activity and there is a Trigger for the habit. The activities we explore are from the domains of mindfulness, physical activity and positive psychology. We explore different machine learning approaches to find the best time to intervene (fitting the Trigger component). We will also examine the factors affecting the effectiveness of the intervention based on the actual outcome of the real-world pilot study. Finally, I will discuss future research directions.


Shaul Kfir (Digital Asset)

Shaul is one of the Founders of Digital Asset. He is a software engineer with a background in research cryptography, implementing Zero-Knowledge Proof protocols for Secure Computational Integrity and Privacy. Previously, he served as CTO for two startups in Tel Aviv. Shaul is a former Lieutenant Commander in the Israeli Navy. He was also a team member of the SCIPR cryptography lab and a visiting scientist at MIT CSAIL


 Dr. Aneta Lisowska is a senior postdoctoral researcher at Sano Center for Computational Medicine and Poznań University of Technology, developing AI methods for digital health interventions.

Aneta’s research journey began in Scotland where she obtained a BSc in Computing and Cognitive Science from the University of Dundee and completed an industrial doctorate at Toshiba Medical Visualization System Europe and Herriot-Watt University. After obtaining an Engineering Doctorate, she joined the AI team at Canon Medical Research Europe where she worked on AI methods for text and medical image analysis, delivering numerous patents utilizing deep learning methods in healthcare applications, and leading research projects focused on Active and Continual Learning.

After over 6 years of working in the medical industry on AI clinical diagnostic tools, Aneta decided to change the direction of her research towards designing AI-based applications for ubiquitous mobile devices.  At the start of 2021 she joined Poznań University of Technology where she develops machine learning models for personalised coaching and decision support. In particular, she works on ML-based approaches supporting patients with treatment adherence and development of positive health habits.

In late 2021, Aneta also joined Sano, where she works on chronic illness prevention applications.

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