Frontiers Multi-omics and machine learning for the prevention and management of female reproductive health

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

Frontiers Healthcare analytics—A literature review and proposed research agenda

Frontiers An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy

Our Research, College of Medicine

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Frontiers Smart breeding approaches in post-genomics era for

Frontiers Unraveling the harmful effect of oxidative stress on male fertility: A mechanistic insight

Drug-microbiota interactions: an emerging priority for precision medicine

Multi-omic machine learning predictor of breast cancer therapy response

Frontiers Multi-Omics Analysis and Machine Learning Prediction Model for Pregnancy Outcomes After Intracytoplasmic Sperm Injection–in vitro Fertilization

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Multi-omic machine learning predictor of breast cancer therapy response

A landscape of immunomics: developmental tendency and future direction.

Frontiers Role of the gut microbiota in the pathogenesis of endometriosis: a review

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What Are The Female Fertility Hormones And What Role Do They Play?

Hormone Cycle - Infertility Evaluation in Women

What's stumping us: A snapshot of what we know about fertility - Institute for Reproductive Health

Menstrual cycle

Ask the Sexpert: Sex drive and the menstrual cycle - University Health Service