The innovation environment ASSET aims to develop and evaluate new algorithms based on artificial intelligence (AI) for preventive precision medicine treatments against type 1 diabetes and other autoimmune diseases. In parallel, ASSET will study the organizational, financial and legal conditions of the health care system in order to apply the proposed precision health solutions in the Swedish health care system.
MainlyAI’s part in this project is to develop the models for prediction and supplying a platform for collaboration on the AI work. This project is partly funded by Vinnova and is coordinated by Dyamid Medical. The other participants are Sahlgrenska University Hospital, Lunds University, The Swedish National Diabetes Register, Leading Health Care Foundation
The aim of the EXPLAIN project is to increase the profitability, sustainability, and competitiveness of the Swedish manufacturing industry. The project conducts research & development of a new generation of interactive and innovative fusion of virtual production modeling methods and machine learning algorithms for decision-making support and increasing knowledge within the production systems lifecycle. It will target cases on production planning and control with humans-in-the-loop, wherein complex multi-criteria decisions are to be made, including energy & resource efficiency.
MainlyAI’s part in this project is to develop the models for prediction and supplying a platform for collaboration on the AI work.
This project is partly funded by Vinnova and is coordinated by Uppsala University. The other participants are The Royal Institute of Technology (KTH), RISE IVF, AstraZeneca, Hitachi-ABB, Scania CV and Seco Tools
EXPLAIN
EXPlainable and Learning production & logistics by Artificial Intelligence
ALISTAIR
Artificial Intelligence for Sustainable Production
Greenhouse gas (GHG) emission minimisation from production plants has potential to play a key role in significant emission reductions and necessary adaptations to long term climate change. In ALISTAIR, we will design, implement, and evaluate the project results to a new drug production plant focusing on recombinant proteins, currently being designed by Diamyd Medical.
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