New spatial transcriptomics approach combined with machine learning maps gene expression across whole mouse body sections, ...
Machine Learning and Single-Cell Technology Combined to Drive High-Performance Cell Line Development
The integrated approach is designed to adapt to the evolving needs of new therapeutic modalities, delivering both speed and performance.
Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying ...
To gain better insight into what's happening in the brain, researchers examine the molecules produced by brain cells, ...
With weMERFISH, the MERFISHEYES atlas and the integration of live imaging, researchers now have a new tool at their disposal.
Researchers at Cedars-Sinai have developed a fast, new technique for analyzing cells, described in the journal Angewandte ...
Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
A burgeoning field is launching its first clinical trial to find out whether dialling back cell development can safely ...
Researchers at The University of Texas MD Anderson Cancer Center have discovered a new blood-based biomarker that can help ...
Researchers suggest their approach has the potential to transform early disease detection and health monitoring across diverse clinical settings.
Researchers at NYU Abu Dhabi have developed smart molecules that can both detect and treat cancer, offering a safer and more precise approach to care.
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