Building the world’s largest spatial multiomics dataset in oncology
MOSAIC is the world’s largest spatial multiomics dataset in oncology
MOSAIC is the world’s largest spatial multiomics dataset in oncology
How will MOSAIC help us fight cancer?
Through spatial omics MOSAIC will paint a picture of the dynamics between cells, highlighting key biological networks to enable precision medicine via the discovery of:
New disease biology
New patient subtypes
New biomarkers
New drug targets
Matching the right patient to the right treatment
Why spatial biology?
Spatial biology brings a new dimension to cancer research because it maps biological molecules to their location within a tissue, capturing the spatial context.
When combined with data from technologies like imaging and genomics, spatial omics contributes to a rich, multiscale understanding of disease mechanisms.
Large-scale spatial omics data is essential to fuel research in cancer
The convergence of large-scale spatial omics data and AI will power the next revolution of oncology research. There is an urgent need for the whole cancer community to have access to these data to reveal groups of patients with distinct tumour/immune biology.
The MOSAIC initiative will overcome this limitation by creating a dataset of 7,000 tumor spatial transcriptomes, allowing scientists to conduct research on data from cohorts 100 times larger than what is currently possible.
Data modalities
MOSAIC deploys a deep multimodal approach, covering six data modalities to capture the complexity of disease biology at multiple scales.
Cancer therapy areas
MOSAIC focuses on a selected cohort that includes seven cancer indications to create the largest spatial and multiomic atlas to date.
MOSAIC is an initiative of academic, technology and AI partners formed to:
How is MOSAIC structured?
MOSAIC is a large-scale initiative that combines patient samples and technologies from multiple institutions, hospitals and technology partners, who are joining forces with Owkin to create the largest multimodal, spatial omics atlas in cancer.
Contact us to learn how to get involved.