Classical drug development is based on proof-of-concept studies using immortalized cell lines and animal models. The use of these non-predictive models has led to high attrition in Phase 1 human clinical trials due to poor clinical safety, toxicity and inappropriate pharmacokinetics. Based on recent discoveries, human stem cell lines can now essentially be instructed to form any tissue type recapitulating 3D architecture and physiology. These predictive 3D models will be a game changer in drug development and significantly reduce the cost of on average USD 1.3 billion for bringing a drug to market. The technical challenges around 3D image-based screens have until now limited their implementation into drug discovery pipelines. Developments in high-content microscopy and image-based analysis are breaking down these barriers. In StemScreen we will establish the first Danish academic-industrial partnership around stem cell-based disease modeling and drug screening with strong international links. Our objective is to establish a network of experts and the infrastructure required to perform high-content phenotypic analyses of stem cell-based 3D models supporting drug discovery and commercialization. Specifically, we will within StemScreen identify lead compounds for at least 7 clinical conditions and advance the methods for stem cell-based 3D models. Collectively, this will push specialist training and bioinnovation in Denmark.

Enhver aktør på elmarkedet har betydelige udfordringer med stærkt svingende priser og leverancer af el, hvilket ikke mindst er blevet tydeliggjort i løbet af de seneste måneder. Det er derfor af stor betydning at udvikle matematiske modeller, som både giver en god beskrivelse af elprisers udvikling, kan kalibreres godt, og som kan bruges til at foretage risikoberegninger. I dette projekt vil vi netop udvikle sådanne modeller med særlig fokus på de meget pludselige store prisændringer.