Frontiers Multi-omics and machine learning for the prevention and management of female reproductive health
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Females typically carry most of the burden of reproduction in mammals. In humans, this burden is exacerbated further, as the evolutionary advantage of a larg
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Frontiers From multi-omics approaches to personalized medicine in myocardial infarction
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Frontiers An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy
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Frontiers A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems
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Multiomics insights into the female reproductive aging - ScienceDirect
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Frontiers Applications of Multi-Omics Technologies for Crop Improvement
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