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3. A shared group of bacterial taxa in the duodenal microbiota of undernourished Pakistani children with environmental enteric dysfunction.

4. Machine-learning-based integrative -'omics analyses reveal immunologic and metabolic dysregulation in environmental enteric dysfunction.

5. Clinically relevant antibiotic resistance genes are linked to a limited set of taxa within gut microbiome worldwide.

6. Standard RUTF vs. locally-made RUSF for acutely malnourished children: A quasi-experimental comparison of the impact on growth and compliance in a rural community of Pakistan.

7. Impact of diarrhoea and acute respiratory infection on environmental enteric dysfunction and growth of malnourished children in Pakistan: a longitudinal cohort study.

8. Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction.

9. Impact of enteropathogens on faltering growth in a resource-limited setting.

10. Barriers and facilitators to exclusive breastfeeding in rural Pakistan: a qualitative exploratory study.

11. Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan.

12. Gut integrity and duodenal enteropathogen burden in undernourished children with environmental enteric dysfunction.

13. Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction.

14. Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth - a four-year prospective study.

15. Study of Environmental Enteropathy and Malnutrition (SEEM) in Pakistan: protocols for biopsy based biomarker discovery and validation.

16. Promising Biomarkers of Environmental Enteric Dysfunction: A Prospective Cohort study in Pakistani Children.

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