Automating cell-based screening with open source, robotics and AI Towards automated phenotypic cell profiling with high-content imaging Towards Automated AI-guided Drug Discovery Labs Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets Building an informatics solution to sustain AI-guided cell profiling with high-content microscopy imaging Automating the process of continuously prioritising data, updating and deploying AI models in a robotised lab for drug discovery Data-intensive applications on cloud computing resources: Applications in life sciences Data-intensive bioinformatics on HPC and Cloud The case for cloud computing in Life Sciences Storage and Analysis of Sensitive Large-Scale Biomedical Data in Sweden Agile large-scale machine-learning pipelines in drug discovery Enabling Translational Medicine with e-Science Continuous modeling - automating model building on high-performance e-Infrastructures Analyzing Big Data in Medicine with Virtual Research Environments and Microservices Interoperability and scalability with microservices in science 
