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

Omics approaches: interactions at the maternal–fetal interface and origins of child health and disease

Frontiers Identification of mitophagy-related biomarkers in human osteoporosis based on a machine learning model

Frontiers Climate change and infectious disease: A prologue on multidisciplinary cooperation and predictive analytics

Frontiers Female infertility and diet, is there a role for a personalized nutritional approach in assisted reproductive technologies? A Narrative Review

PDF) Biomarker Identification through Multiomics Data Analysis of Prostate Cancer Prognostication Using a Deep Learning Model and Similarity Network Fusion

Technological Innovation — Inside Reproductive Health Podcast — Fertility Bridge

Frontiers The future of evolutionary medicine: sparking

PDF) Editorial: Systems Biology and Omics Approaches for Understanding Complex Disease Biology

Small molecule metabolites: discovery of biomarkers and therapeutic targets

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

Frontiers Machine learning and multi-omics data in chronic lymphocytic leukemia: the future of precision medicine?

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

Applications of artificial intelligence multiomics in precision

Metabolites, Free Full-Text