Despite major advances in genetics and modern imaging, the diagnosis catches most breast cancer patients by surprise. For some, it comes too late. Later diagnosis means aggressive treatments, uncertain outcomes, and more medical expenses. As a result, identifying patients has been a central pillar of breast cancer research and effective early detection.
* This article was originally published here
Tuesday, 14 May 2019
Artificial intelligence could select heart failure patients for expensive treatment
Artificial intelligence (AI) has shown promise to select heart failure patients for expensive treatments to prevent lethal arrhythmias, reports a study presented today at ICNC 2019. The study is the first to use a machine learning algorithm to predict sudden death in heart failure patients.
* This article was originally published here
* This article was originally published here
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