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Machine learning tool predicts cancer treatment response based on genetic mutationsA groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...
The genes included those involved in the function of energy-producing mitochondria, lipid and iron metabolism, and the ...
We recently replaced our PubMed search strategy with a new approach using machine ... meta-analysis or genome-wide association study) and data categories (for example, gene-disease association ...
An international research team led by the Hong Kong University of Science and Technology (HKUST) has identified key genetic ...
Published in Health Data Science, the study highlights the growing importance of machine learning ... analysis across clinical trials, treatment effectiveness studies, and genetic association ...
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New resource maps gene-disease links across common conditions, paving the way for personalized medicineA new study introduces an innovative tool for exploring gene-disease connections: the PWAS Hub. This resource is based on the novel approach of the proteome-wide association study (PWAS), which ...
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