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New study aims to improve anti-cancer drug response predictions across cancer types
The goal of precision oncology is to be able to tailor treatments to each individual patient based on their cancer s unique molecular fingerprints.
New technologies and large, -omics datasets are now allowing researchers to examine shared features not just within a single type of cancer -; such as breast cancer -; but to look for patterns across many types of cancer. These data offer great clues that an approach that has shown success in one type of cancer may also work well against a different type of cancer based on common underlying features. ....

United States , Matthew Soellner , John Lloyd , Emily Henderson , Um College Of Literature , Study Co , University Of Michigan Rogel Cancer Center , Research Of Computational Medicine , University Of Michigan , Michigan Rogel Cancer Center , Study Co Senior Author , Human Genetics , Associate Chair , Computational Medicine , Michigan Medicine University , Sofia Merajver , Gum College , Breast Cancer , Liver Cancer , Mek Inhibitor , ஒன்றுபட்டது மாநிலங்களில் , மேத்யூ சோேல்ல்நேர் , ஜான் லாயிட் , எமிலி ஹென்டர்சன் , உம் கல்லூரி ஆஃப் இலக்கியம் , படிப்பு இணை ,