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The researchers used machine learning to develop a genetic risk score that could identify people at risk for certain alcohol and tobacco use behaviors

Even though the more cold turkey method came out on top, the quit rates for both methods were still quite good, said Nicola Lindson-Hawley, a postdoctoral researcher at the Nuffield Department of Primary Care Health Sciences at the University of Oxford in England

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