National Centre for Spatial Tissue and AI Research - NCSTAR
The National Centre for Spatial Tissue and AI Research brings together researchers in academia, medicine and industry with the common goal of discovering novel drug targets and improving clinical decision making through the development of spatially-defined, tissue biomarkers.
Identifying the right therapy for the right patients at the right time
Vision
Improve diagnosis, prognosis and treatment strategies for patients through spatial tissue analysis.
Purpose
Advance clinical and basic research through the employment of cutting-edge spatial technologies and innovative machine learning analytics.
Outcomes
Establish impactful clinical collaborations, identify novel biomarkers and drug targets, and improve patient outcomes.
Advancing spatial biology through machine learning to drive better outcomes for patients
Studying disease mechanisms
Studying disease mechanisms via the elucidation of spatial relationships between different cell types and their gene expression patterns within diseased tissues.
- Provides insights into the underlying pathological mechanisms of disease.
Disease-specific biomarkers
Identify disease-specific biomarkers that are localized to particular regions or cell types within a tissue sample.
- These biomarkers could then be used for diagnosis, prognosis, or treatment selection in clinical trials.
Spatial biology
Spatial biology can be used to evaluate drug responses.
- This can provide valuable information about the mechanism of action and efficacy of investigational therapies.
Targeted therapies
Guiding targeted therapies.
- The spatial mapping of gene expression and cell types within a tumor or other tissue can help guide the development and application of targeted therapies that aim to selectively act on specific cell populations or spatial regions.
Contact us
For further information or questions please contact the NCSTAR team.