Here you can read about everything that's happening in the ISB Group.
Time: 19th September 2024, 12.00 – 13.00
Zoom link: https://liu-se.zoom.us/j/63082836653
Read more about the STRATIF-AI project here: https://stratif-ai.eu/
This lecture is a part of the LIU seminar series on eHealth: https://liu.se/en/research/ehealth
Welcome!
We are excited to announce that we have secured new funding from ALF, the state-funded research program for clinical research in collaboration with Swedish regions. The grant has been awarded to Gunnar Cedersund, the coordinator of STRATIF-AI, for a project titled “Implementation and Evaluation of a Digital Twin-Based eHealth Application for Preventive Health Dialogues.”
This project is directly linked to Clinical Study 2 within STRATIF-AI, which assesses our application designed for use during and after preventive health dialogues at primary healthcare centers. In this study, we will compare standard clinical practice with 300 health dialogues incorporating the new app.
With this additional funding, we can enhance app development and expand the clinical study to include 400 patients. The project will span three years, with an annual budget of 900,000 SEK, totaling approximately 3 million SEK (around 300,000 EUR). This support will significantly bolster our efforts in the field of preventive healthcare.
In this workshop, which will be held the 5th of November, we will discuss hybrid approaches, combining traditional bioinformatics and machine learning, with new generative AI approaches and mechanistically based digital twins. This combination of methods is ideal for dealing with a variety of different data types, and for developing AI models that are explainable and trustworthy. The event will feature keynote lectures, talks selected from abstracts, a poster session, and will be in hybrid format. Link to more info here:
New hybrid approaches to Precision Medicine: machine learning, generative AI, and digital twins
A few weeks ago, on June 10, STRATIF-AI had its first meeting with fellow EU projects funded under the same call, all focusing on the use of AI for improved patient stratification. This initial two-hour meeting served as an introduction to each project and a discussion of key shared challenges (see Figure below). These challenges include data interoperability, federated learning, trustworthy and explainable AI (xAI), and MDR certifications.
During the meeting, we presented some core concepts of STRATIF-AI, such as our hybrid approach that combines multi-level, multi-timescale, and multi-organ simulations using mechanistic models as inputs to machine-learning models. This hybrid approach enhances the explainability of our models.
Furthermore, we explained shortly how STRATIF-AI uses data harmonization in two places: i) in connection to the federated learning set up by a collaboration between Catalina Martinez Costa (University of Murcia) and Lucia Gregorio Rodriguez (TREE), and ii) in connection to integrating a copy data from a variety of different sources into a personal data vault (Jesper Fellenius at Z2).
This collaboration and network of related projects will be useful for us to use in various related topics as we move forward, and we from STRATIF-AI are looking forward to new meetings. Thanks to the team at PREPARE for setting this meeting up.
