Welcome to the Pharmaceutical Bioinformatics research group at Uppsala University

Principal Investigator: Ola Spjuth, Professor.

Research focus: Intelligent systems with AI and machine learning in drug discovery and chemical safety

The Pharmaceutical Bioinformatics research group focuses on mathematical and statistical modeling, informatics and quantitative analysis of pharmacological systems. We develop methods, algorithms and software to study and model pharmaceutical interactions, and a key focus in the group is how artificial intelligence (AI) and machine learning can aid the drug discovery process; e.g. in drug screening and when studying drug toxicity, metabolism and resistance. We combine in silico and in vitro experiments at the cellular level, and have access to a robotized high-content imaging lab connected to a modern IT-infrastructure to manage and analyze large-scale data. We are involved in several national and international consortia and have a tight connection to the pharmaceutical industry, Uppsala University Hospital, and Science for Life Laboratory. See the Projects page for more information on our ongoing research projects.

We are an interdisciplinary team of researchers engaging in data-driven cell biology, aiming to develop autonomous biological laboratories where data drives decisions on what experiments should be done next, and where automation and AI modeling are core methodologies.

Latests Blog Posts

Our HASTE team wins the Adipocyte Cell Imaging Challenge organized by AI Sweden and AstraZeneca

23 Nov, 2020. We are very happy to announce that the HASTE team has emerged as the winners to the Adipocyte Cell Imaging Challenge that was organized by AstraZeneca and AI Sweden as a challenge to the AI community to solve the problem of labeling cell i ...

Open position as Data Engineer in our lab

10 Nov, 2020. We are looking for a skilled Data Engineer to join our team! Tasks In collaboration with other researchers, develop, implement and test systems for AI-controlled automated microscopes. The task includes interacting directly with the micros ...

Swedish Research Council will fund our project 'Autonomous Phenotypic Drug Profiling'

29 Oct, 2020. We are very happy to announce that the Swedish Research Council has decided to fund the project Autonomous Phenotypic Drug Profiling under the call Project Grant 2020 for Natural end engineering science (VR-NT 2020) where Prof. Ola Spjuth ...

Ola Spjuth interviewed at the faculty

20 Oct, 2020. Group leader Ola Spjuth was interviewed and presented at the faculty in a post entitled Self-learning machines take the step into drug discovery Link to the full article here. ...

Opportunity for PhD or postdocs at Centre for Digital Life Norway to apply for 3-year project in our group

1 Oct, 2020. For a PhD or Postdoc involved in a research project at the Centre for Digital Life Norway or is a member of its research school, there is now an opportunity to apply for a three-year researcher project with international mobility to join o ...

Jordi Carreras-Puigvert joins the research group

24 Sep, 2020. We welcome Jordi Carreras-Puigvert who recently started as a Lecturer in our group. Jordi is a strategic recruitment from Karolinska Institutet, and he will establish his own research topic in the group working on cancer drug screening. Ex ...

Andreina presenting at 19th workshop on Constraint Modelling and Reformulation

9 Sep, 2020. Andreina Francisco in our team presented on 2020-09-07 a talk with the title A Constraint Programming Approach to Microplate Layout Design at the The 19th workshop on Constraint Modelling and Reformulation in Louvain-la-Neuve, Belgium. A vi ...

More blog posts ...

Latest publications

Smart Resource Management for Data Streaming using an Online Bin-packing Strategy Stein O, Blamey B, Karlsson J, Sabirsh A, Spjuth O, Hellander A, and Toor S.. IEEE BigData 2020 Accepted: (2020)

Deep learning with conformal prediction for hierarchical analysis of large-scale whole-slide tissue images Wieslander H., Harrison P, Skogberg G, Jackson S, Fridén M, Karlsson J, Spjuth O, and Wählby C.. IEEE Journal of Biomedical and Health Informatics Early access: (2020)

Using Predicted Bioactivity Profiles to Improve Predictive Modelling Norinder U, Spjuth O, Svensson F. Journal of Chemical Information and Modeling 60:6 (2020)

Towards reproducible computational drug discovery Schaduangrat N, Lampa S, Simeon S, Gleeson MP, Spjuth O, Nantasenamat C. Journal of Cheminformatics 12:9 (2020)

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Latest presentations

A Constraint Programming Approach to Microplate Layout Design
The 19th workshop on Constraint Modelling and Reformulation, Louvain-la-Neuve, Belgium. Sep 2020
Towards automated phenotypic cell profiling with high-content imaging
Chemical Biology Seminar Series, Stockholm. Feb 2020
Towards Automated AI-guided Drug Discovery Labs
Swedish e-Science Academy 2019, Lund. Oct 2019
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Latest posters

Automating Cell Profiling of Drugs with Cell Painting
10th Pharmaceutical Profiling Symposium, Uppsala. Jan 2020
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