Ola Spjuth

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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