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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...

Nomic to Provide nELISA to JUMP Cell Painting Consortium

Protein profiling company Nomic announced in a press release today that it is providing access to the company’s nELISA TM platform to the Joint Undertaking in Morphological Profiling-Cell Painting (JUMP-CP) consortium. With this access, Nomic joins the JUMP-CP consortium as a Supporting Partner...