Imran Nisar
Biographic Data
| ID | 9020860 |
|---|---|
| NAME | Imran Nisar |
| GIVEN NAMES | Imran |
| FAMILY NAME | Nisar |
| SIGNATURE | NISAR I |
| AFFILIATIONS | Aga Khan University |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Strengthening supply chains for pathogen genomic surveillance in Asia
INTRODUCTION: While pathogen genomics using next-generation sequencing (NGS) has been recommended by the WHO as an essential tool for national communicable disease surveillance programmes, procurement and supply chain management (PSM) systems for this new technology are still evolving. To assess the status of PSM systems for pathogen genomics, we examined perspectives from end-users and manufacturers across South and Southeast Asia. METHODS: Betw…
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…
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…
Newborn weight change and predictors of underweight in the neonatal period in Guinea‐Bissau, Nepal, Pakistan and Uganda
In low- and middle-income countries (LMIC), growth impairment is common; however, the trajectory of growth over the course of the first month has not been well characterised. To describe newborn growth trajectory and predictors of growth impairment, we assessed growth frequently over the first 30 days among infants born ≥2000 g in Guinea-Bissau, Nepal, Pakistan and Uganda. In this cohort of 741 infants, the mean birth weight was 3036 ± 424 g. For…
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…
No prominent works on this page.
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…
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…
Newborn weight change and predictors of underweight in the neonatal period in Guinea‐Bissau, Nepal, Pakistan and Uganda
In low- and middle-income countries (LMIC), growth impairment is common; however, the trajectory of growth over the course of the first month has not been well characterised. To describe newborn growth trajectory and predictors of growth impairment, we assessed growth frequently over the first 30 days among infants born ≥2000 g in Guinea-Bissau, Nepal, Pakistan and Uganda. In this cohort of 741 infants, the mean birth weight was 3036 ± 424 g. For…
Strengthening supply chains for pathogen genomic surveillance in Asia
INTRODUCTION: While pathogen genomics using next-generation sequencing (NGS) has been recommended by the WHO as an essential tool for national communicable disease surveillance programmes, procurement and supply chain management (PSM) systems for this new technology are still evolving. To assess the status of PSM systems for pathogen genomics, we examined perspectives from end-users and manufacturers across South and Southeast Asia. METHODS: Betw…
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…
Pregnancy (6 works) · Medicine (5 works) · Internal Medicine (4 works) · Pregnancy and preeclampsia studies (4 works) · Biology (3 works) · Environmental health (3 works) · Gestational age (3 works) · Obstetrics (3 works) · Pediatrics (3 works) · Birth weight (2 works)