Multi-omics profiling for health

M Babu, M Snyder - Molecular & Cellular Proteomics, 2023 - ASBMB
The world has witnessed a steady rise in both non-infectious and infectious chronic
diseases, prompting a cross-disciplinary approach to understand and treating disease …

Roles of the microbiota of the female reproductive tract in gynecological and reproductive health

B Zhu, Z Tao, L Edupuganti, MG Serrano… - … and Molecular Biology …, 2022 - Am Soc Microbiol
The microbiome of the female reproductive tract defies the convention that high biodiversity
is a hallmark of an optimal ecosystem. Although not universally true, a homogeneous …

Infections and pregnancy: effects on maternal and child health

M Kumar, M Saadaoui, S Al Khodor - Frontiers in Cellular and …, 2022 - frontiersin.org
Pregnancy causes physiological and immunological adaptations that allow the mother and
fetus to communicate with precision in order to promote a healthy pregnancy. At the same …

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

NG Ravindra, C Espinosa, E Berson… - npj Digital …, 2023 - nature.com
Preterm birth (PTB) is the leading cause of infant mortality globally. Research has focused
on develo** predictive models for PTB without prioritizing cost-effective interventions …

Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low-and middle-income countries

CA Espinosa, W Khan, R Khanam, S Das, J Khalid… - Science …, 2023 - science.org
Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive
studies are hindered by its multiple complex etiologies. Epidemiological associations …

Multiomics, artificial intelligence, and precision medicine in perinatology

M Pammi, N Aghaeepour, J Neu - Pediatric research, 2023 - nature.com
Technological advances in omics evaluation, bioinformatics, and artificial intelligence have
made us rethink ways to improve patient outcomes. Collective quantification and …

Perinatal health predictors using artificial intelligence: A review

R Ramakrishnan, S Rao, JR He - Women's Health, 2021 - journals.sagepub.com
Advances in public health and medical care have enabled better pregnancy and birth
outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; …

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

D Mennickent, A Rodríguez, MC Opazo… - Frontiers in …, 2023 - frontiersin.org
Introduction Machine learning (ML) corresponds to a wide variety of methods that use
mathematics, statistics and computational science to learn from multiple variables …

[HTML][HTML] Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN …

SM Donovan, N Aghaeepour, A Andres… - The American Journal of …, 2023 - Elsevier
Human milk contains all of the essential nutrients required by the infant within a complex
matrix that enhances the bioavailability of many of those nutrients. In addition, human milk is …

Human milk: From complex tailored nutrition to bioactive impact on child cognition and behavior

C de Weerth, AK Aatsinki, MB Azad… - Critical reviews in …, 2023 - Taylor & Francis
Human milk is a highly complex liquid food tailor-made to match an infant's needs. Beyond
documented positive effects of breastfeeding on infant and maternal health, there is …