Saikat Deb
Biographic Data
| ID | 5472985 |
|---|---|
| NAME | Saikat Deb |
| GIVEN NAMES | Saikat |
| FAMILY NAME | Deb |
| SIGNATURE | DEB S |
| AFFILIATIONS | Public Health Laboratory Ivo de Carneri |
| ORCID | 0000-0001-8865-7194 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Multi-Omics for Mothers and Infants (Momi) Consortium
Background: The Multi-Omics for Mothers and Infants (MOMI) Consortium aims to define biological mechanisms associated with preterm birth, small for gestational age, preeclampsia, and stillbirth. Globally, the burden of adverse pregnancy outcomes (APOs) is highest in low- and middle-income countries (LMICs). The MOMI Consortium consists of six different LMIC sites established by The Alliance for Maternal and Newborn Health Improvement in Banglades…
Global adolescent fertility dynamics
Objectives of this study are to determine how the impact of socio-economic and health determinants differs between pre-2002 and post-2002 regimes, quantify the importance of each determinant, and provide regime-specific probabilistic forecasts. Panel data collected from the World Bank’s World Development Indicators for the period 1960–2024 are used. Regime-based variation is measured using Fixed Effects Panel Regression. Neural Ordinary Different…
Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation
Background: Knowledge of gestational age is critical for guiding preterm neonatal care. In the last decade, metabolic gestational dating approaches emerged in response to a global health need; because in most of the developing world, accurate antenatal gestational age estimates are not feasible. These methods initially developed in North America have now been externally validated in two studies in developing countries, however, require shipment o…
Association of maternal prenatal selenium concentration and preterm birth
BACKGROUND: Selenium (Se), an essential trace mineral, has been implicated in preterm birth (PTB). We aimed to determine the association of maternal Se concentrations during pregnancy with PTB risk and gestational duration in a large number of samples collected from diverse populations. METHODS: Gestational duration data and maternal plasma or serum samples of 9946 singleton live births were obtained from 17 geographically diverse study cohorts. …
Using Amanhi-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation
BACKGROUND: Globally, 15 million infants are born preterm and another 23.2 million infants are born small for gestational age (SGA). Determining burden of preterm and SGA births, is essential for effective planning, modification of health policies and targeting interventions for reducing these outcomes for which accurate estimation of gestational age (GA) is crucial. Early pregnancy ultrasound measurements, last menstrual period and post-natal ne…
Understanding biological mechanisms underlying adverse birth outcomes in developing countries
OBJECTIVES: The AMANHI study aims to seek for biomarkers as predictors of important pregnancy-related outcomes, and establish a biobank in developing countries for future research as new methods and technologies become available. METHODS: AMANHI is using harmonised protocols to enrol 3000 women in early pregnancies (8-19 weeks of gestation) for population-based follow-up in pregnancy up to 42 days postpartum in Bangladesh, Pakistan and Tanzania, …
Development and validation of a simplified algorithm for neonatal gestational age assessment – protocol for the Alliance for Maternal Newborn Health Improvement (Amanhi) prospective cohort study
OBJECTIVE: The objective of the Alliance for Maternal and Newborn Health Improvement (AMANHI) gestational age study is to develop and validate a programmatically feasible and simple approach to accurately assess gestational age of babies after they are born. The study will provide accurate, population-based rates of preterm birth in different settings and quantify the risks of neonatal mortality and morbidity by gestational age and birth weight i…
Impact of micronutrient fortification of yoghurt on micronutrient status markers and growth – a randomized double blind controlled trial among school children in Bangladesh
ClinicalTrial.gov: NCT00980733
No prominent works on this page.
Impact of micronutrient fortification of yoghurt on micronutrient status markers and growth – a randomized double blind controlled trial among school children in Bangladesh
ClinicalTrial.gov: NCT00980733
Understanding biological mechanisms underlying adverse birth outcomes in developing countries
OBJECTIVES: The AMANHI study aims to seek for biomarkers as predictors of important pregnancy-related outcomes, and establish a biobank in developing countries for future research as new methods and technologies become available. METHODS: AMANHI is using harmonised protocols to enrol 3000 women in early pregnancies (8-19 weeks of gestation) for population-based follow-up in pregnancy up to 42 days postpartum in Bangladesh, Pakistan and Tanzania, …
Development and validation of a simplified algorithm for neonatal gestational age assessment – protocol for the Alliance for Maternal Newborn Health Improvement (Amanhi) prospective cohort study
OBJECTIVE: The objective of the Alliance for Maternal and Newborn Health Improvement (AMANHI) gestational age study is to develop and validate a programmatically feasible and simple approach to accurately assess gestational age of babies after they are born. The study will provide accurate, population-based rates of preterm birth in different settings and quantify the risks of neonatal mortality and morbidity by gestational age and birth weight i…
Association of maternal prenatal selenium concentration and preterm birth
BACKGROUND: Selenium (Se), an essential trace mineral, has been implicated in preterm birth (PTB). We aimed to determine the association of maternal Se concentrations during pregnancy with PTB risk and gestational duration in a large number of samples collected from diverse populations. METHODS: Gestational duration data and maternal plasma or serum samples of 9946 singleton live births were obtained from 17 geographically diverse study cohorts. …
Using Amanhi-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation
BACKGROUND: Globally, 15 million infants are born preterm and another 23.2 million infants are born small for gestational age (SGA). Determining burden of preterm and SGA births, is essential for effective planning, modification of health policies and targeting interventions for reducing these outcomes for which accurate estimation of gestational age (GA) is crucial. Early pregnancy ultrasound measurements, last menstrual period and post-natal ne…
Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation
Background: Knowledge of gestational age is critical for guiding preterm neonatal care. In the last decade, metabolic gestational dating approaches emerged in response to a global health need; because in most of the developing world, accurate antenatal gestational age estimates are not feasible. These methods initially developed in North America have now been externally validated in two studies in developing countries, however, require shipment o…
Multi-Omics for Mothers and Infants (Momi) Consortium
Background: The Multi-Omics for Mothers and Infants (MOMI) Consortium aims to define biological mechanisms associated with preterm birth, small for gestational age, preeclampsia, and stillbirth. Globally, the burden of adverse pregnancy outcomes (APOs) is highest in low- and middle-income countries (LMICs). The MOMI Consortium consists of six different LMIC sites established by The Alliance for Maternal and Newborn Health Improvement in Banglades…
Global adolescent fertility dynamics
Objectives of this study are to determine how the impact of socio-economic and health determinants differs between pre-2002 and post-2002 regimes, quantify the importance of each determinant, and provide regime-specific probabilistic forecasts. Panel data collected from the World Bank’s World Development Indicators for the period 1960–2024 are used. Regime-based variation is measured using Fixed Effects Panel Regression. Neural Ordinary Different…
Medicine (6 works) · Pregnancy (6 works) · Biology (5 works) · Internal Medicine (5 works) · Environmental health (4 works) · Gestational age (4 works) · Obstetrics (4 works) · Pregnancy and preeclampsia studies (4 works) · Gestation (3 works) · Population (3 works)