Sayan Das

发表

Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation: Facilitating use of this technology in low resource settings of South Asia and East Africa

A. Barkat, R. Khanam, A. Baqui, 2022, Journal of global health.

Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries

S. Quake, G. Shaw, J. Stringer, 2020, JAMA network open.

Population-based rates, risk factors and consequences of preterm births in South-Asia and sub-Saharan Africa: A multi-country prospective cohort study

Julie M. Herlihy, N. York, D. Hamer, 2022, Journal of global health.

Using AMANHI-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation

A. Barkat, R. Khanam, A. Baqui, 2021, Journal of global health.

Prediction of gestational age using urinary metabolites in term and preterm pregnancies

G. Shaw, J. Stringer, N. Aghaeepour, 2022, Scientific Reports.

Burden and risk factors for antenatal depression and its effect on preterm birth in South Asia: A population-based cohort study

F. Begum, R. Khanam, A. Baqui, 2022, PloS one.

Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa

A. Barkat, R. Khanam, Salahuddin Ahmed, 2021, BMC Pregnancy and Childbirth.

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

J. Stringer, N. Aghaeepour, M. Snyder, 2023, Science advances.

Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa

A. Barkat, R. Khanam, A. Baqui, 2021, BMC Pregnancy and Childbirth.