Harshita Mittal

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.

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.

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.

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.