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Collaborators

In addition to JUMP Partners, JUMP Collaborators worked on limited parts of the project as a collaborative effort, to develop technologies, reagents, and methods. Administrative: Pistoia Alliance Academic: Umeå University Stanford Machine Learning Group

Image-based profiling highlighted in NRDD review article

Several Consortium members collaborated to write a review article highlighting applications of image-based profiling in the pharmaceutical pipeline, published today in Nature Reviews Drug Discovery. The article, "Image-based profiling for drug discovery: due for a machine-learning upgrade?", can be...

More info

Frequently Asked Questions (FAQ) Is it too late to join? Yes, the Consortium has finished its work optimizing, producing data, and publicly releasing it. There are two new Consortia to consider: OASIS (‘Omics for Assessing Signatures for Integrated Safety): Together with HESI, we aim to test Cell...

'Genetic Engineering & Biotechnology News' Features JUMP-Cell Painting

Genetic Engineering & Biotechnology News today featured Dr. Anne Carpenter and her group at the Broad Institute for their work launching a Cell Imaging Consortium. The consortium includes 12 pharmaceutical and biotechnology companies and received funding through the Massachusetts Life Sciences...

'Nature Reviews Drug Discovery' news article on Cell Painting

The JUMP-Cell Painting Consortium is alluded to in the Nature Reviews Drug Discovery news item, " Machine learning brings cell imaging promises into focus". The article overviews the entire field of image-based profiling and phenotype discovery, including industry and academic developments.