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The technique uses artificial intelligence (AI) to analyse protein data harvested from tumour cells, using an algorithm trained by looking at changes to 52 proteins when they are exposed to a panel of targeted anticancer drugs. The post AI test could predict best cancer therapies for patients appeared first on.
The company’s ResolveOME multiomic workflow provides a comprehensive multiomic analysis of breast cancer through the use of exome hybrid capture alongside a single-cell workflow for single-cell resolution of single nucleotide variants (SNVs), copy number alterations and gene expression signatures, coupled with a targeted protein panel.
RNA-Based Therapeutics RNA molecules have emerged as promising therapeutic agents due to their ability to precisely target undruggable proteins or molecules, often with minimal side effects. Additionally, CRISPR genome-wide screening holds great potential for identifying key disease-associated genes and uncovering novel therapeutic targets.
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