SciLifeLab Serve opens for users to share machine learning models and data science apps

The development of new cutting-edge services that enable data-driven life science research is an important part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). SciLifeLab Serve is intended for use by individual researchers, research groups, and SciLifeLab infrastructure units. The service allows users to e.g. share trained machine learning (ML) models with the scientific community or host prototype services (Gradio, Streamlit, FastApi, Flask etc.) built on top of a trained ML model as part of the commercialization efforts. In addition, it allows users to host data science applications (Shiny, Dash, etc.).

SciLifeLab Serve is an important part of the SciLifeLab digital infrastructure Data Centre is building.

The service is free of charge for life science researchers affiliated with a Swedish university or research institution. SciLifeLab infrastructure units that drive innovation and methods development in their respective areas will also be able to use Serve to host developed tools, especially those that use ML technology.

SciLifeLab Serve has already been used by some researchers, and they showcase the breadth and flexibility of the service.

”Over the past year, we have carried out pilot testing of a prototype of SciLifeLab Serve with a group of users that included researchers and technology experts from SciLifeLab infrastructure units. Over 70 different applications and models have already been shared through SciLifeLab Serve. These users’ feedback allowed us to make improvements in functionality and usability before the rollout of this new beta version, now open to all,” says Ola Spjuth, Professor at the Department of Pharmaceutical Biosciences, Uppsala University and Scientific lead of SciLifeLab Serve.


Last updated: 2024-03-20

Content Responsible: victor kuismin(