Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Pregnancy induces neuroanatomical changes in the human brain. Earlier studies detected traces of motherhood decades after childbirth. It is unclear whether these reflect persisting traces of pregnancy or effects of parenthood. We investigated effects of past birth and of pregnancy loss in women, and effects of fatherhood in men, using univariate and machine learning analyses on 205 regional brain ...
Synthetic enhancers with high specificity are crucial for therapeutic gene control. Although existing experimental screens and machine learning-based designs have advanced their discovery, these strategies remain context-restricted, typically requiring new cell-type- or state-specific libraries or datasets for each context, thus limiting their generalizability and scalability for broad biomedical ...
Sex hormone fluctuations modulate structural and functional brain dynamics, yet little is known how sex steroid levels map onto the expression of sex ...
Endometriosis affects ∼10% of reproductive-age women, yet targeted non-hormonal therapies remain unavailable, and treatment response is highly variabl...
Placenta pathology provides diagnostic insights for understanding pregnancy complications and guides maternal and perinatal care. While placental abno...
Accurate overall survival (OS) prediction is key for personalized treatment in breast cancer, but mutation burden alone is insufficient. To improve pr...
Craniofacial malformation (CFM) is a congenital defect encompassing a wide range of phenotypic presentations and is largely driven by genetics. Despit...
Pollination is essential for plant reproduction, ecosystem resilience and human health. Yet, our capability to map pollination service delivery in rea...
Survival analysis in high-dimensional (HD) and multi-block (MB) settings, such as omic and multi-omic studies, poses major methodological challenges d...
Schizophrenia (SCZ) is a neurodevelopmental disorder where both genetic and environmental risks converge during pregnancy. Recent studies have highlig...
Chronic diseases often require repeated oral or local administration, which can compromise patient compliance. In wet age-related macular degeneration...
To assess the rate of retinal vascularisation derived from ultra-widefield (UWF) imaging-based retinopathy of prematurity (ROP) screening as predictor...
Deep learning models have achieved remarkable success in segmenting brain white matter lesions in multiple sclerosis (MS), becoming integral to both r...
Pelvic pain (dysmenorrhea and non-menstrual) is the most common presentation of adolescent endometriosis, but symptoms vary between and within patient...
The global burden of cervical cancer, with a notable prevalence in regions like Tanzania, highlights the critical need for timely and accurate diagnos...
Ovarian cancer is one of the deadliest cancers in women, with a 5-year survival rate of 17-28% in advanced stage (FIGO IIB-IV) disease and is often di...
Machine learning (ML) applications within diagnostic histopathology have been extremely successful. While many successful models have been built using...
Physical food outlets are increasingly offering delivery through Online Food Delivery Service (OFDS) platforms, but the scale of this expansion remain...
Deep learning (DL) is increasingly used to analyze medical imaging, but is less refined for rare conditions, which require novel pre-processing and an...
Fetal MRI provides superior tissue contrast and true 3D spatial information however there is only a limited number of number of MRI studies investigat...