Joanne Muter

The paper develops a deep learning tool to analyze endometrial histology and identifies morphological correlates of miscarriage risk.

DCAFA analyzes histological images to identify compositional shifts and feature associations in biomedical data using a regression-based framework.

GOTFlow infers directed population transitions from cross-sectional biomedical data using optimal transport, revealing biologically meaningful dynamics in endometrial remodelling, breast cancer risk, and prion disease.

The frequency of menstrual cycles with a suboptimal decidual reaction determines the recurrence risk of miscarriage.

This study shows miR-185-5p regulates pathways linked to implantation failure by altering protein expression and CNP family gene activity in endometrial cells.

The paper uses single cell ATAC-seq to study chromatin remodeling in human endometrium across the menstrual cycle, identifying dynamic chromatin regions and their role in implantation.

This study shows that JAZF1-SUZ12 fusion protein disrupts PRC2 function, leading to altered histone modifications and gene expression during cell differentiation.

The paper links a pro-senescent decidual response during the peri-implantation window to recurrent pregnancy loss, showing that immune surveillance failure leads to progesterone-resistant cells and increased miscarriage risk.