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 Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications

Frontiers Single-cell analysis reveals specific neuronal transition during mouse corticogenesis

Cancers, Free Full-Text

Multiomics, artificial intelligence, and precision medicine in

Frontiers in Endocrinology

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

Cells, Free Full-Text

Cancers, Free Full-Text

VCHRI – Partnering in Health Research In-Person Session – Canadian

Frontiers Interfacing Machine Learning and Microbial Omics: A Promising Means to Address Environmental Challenges

Frontiers Machine Learning: A New Prospect in Multi-Omics Data