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The partners hope to improve variant interpretation by linking Limbus Medical's clinical decision support system with Genomenon's literature search tool.
Researchers said that the score further may identify patients whose treatment resistance may be overcome with combination strategies targeting certain cells.
Most cancer types analyzed harbored one or more subclonal populations, which could pose a clinical challenge, the researchers said.
Starting with genome sequences for thousands of individuals from Alzheimer's-affected families, researchers found rare disease-associated variants at 13 new loci.
The approach applies deep learning and could potentially be used to identify people with early-stage disease when therapies may have more of an effect.