Fatima Zulqarnain
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View article: Metabolic network analysis of Crohn’s disease reveals sex- and age-specific cellular phenotypes
Metabolic network analysis of Crohn’s disease reveals sex- and age-specific cellular phenotypes Open
View article: Metabolic Network Analysis of Crohn's Disease Reveals Sex- and Age-Specific Cellular Phenotypes
Metabolic Network Analysis of Crohn's Disease Reveals Sex- and Age-Specific Cellular Phenotypes Open
View article: Machine-learning-based integrative –‘omics analyses reveal immunologic and metabolic dysregulation in environmental enteric dysfunction
Machine-learning-based integrative –‘omics analyses reveal immunologic and metabolic dysregulation in environmental enteric dysfunction Open
View article: Challenges in IBD Research 2024: Precision Medicine
Challenges in IBD Research 2024: Precision Medicine Open
Precision medicine is part of 5 focus areas of the Challenges in IBD Research 2024 research document, which also includes preclinical human IBD mechanisms, environmental triggers, novel technologies, and pragmatic clinical research. Buildi…
View article: Prediction of response to anti-TNFα using integrative computational approaches in Crohn’s disease—Needle in a haystack or a promising biomarker?
Prediction of response to anti-TNFα using integrative computational approaches in Crohn’s disease—Needle in a haystack or a promising biomarker? Open
In the January issue of Cell Reports Medicine, Gerassy-Vainberg et al.1 demonstrate the utility of integrative methods to reveal molecular mechanisms associated with anti-tumor necrosis factor-alpha therapy response in patients …
View article: Machine and deep learning in inflammatory bowel disease
Machine and deep learning in inflammatory bowel disease Open
Purpose of review The Management of inflammatory bowel disease (IBD) has evolved with the introduction and widespread adoption of biologic agents; however, the advent of artificial intelligence technologies like machine learning and deep l…
View article: Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction
Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction Open
Environmental enteric dysfunction (EED) is a subclinical enteropathy prevalent in resource-limited settings, hypothesized to be a consequence of chronic exposure to environmental enteropathogens, resulting in malnutrition, growth failure, …
View article: Identifying metabolic shifts in Crohn's disease using 'omics-driven contextualized computational metabolic network models
Identifying metabolic shifts in Crohn's disease using 'omics-driven contextualized computational metabolic network models Open
Crohn's disease (CD) is a chronic inflammatory disease of the gastrointestinal tract. A clear gap in our existing CD diagnostics and current disease management approaches is the lack of highly specific biomarkers that can be used to stream…
View article: Integrative –‘Omics and Machine-Learning-Based Image Analyses of Environmental Enteric Dysfunction Reveal an Immunologic and Metabolic Pathogenesis of Intestinal Failure
Integrative –‘Omics and Machine-Learning-Based Image Analyses of Environmental Enteric Dysfunction Reveal an Immunologic and Metabolic Pathogenesis of Intestinal Failure Open
View article: Integrative –‘Omics and Machine-Learning-Based Image Analyses of Environmental Enteric Dysfunction Reveal an Immunologic and Metabolic Pathogenesis of Intestinal Failure
Integrative –‘Omics and Machine-Learning-Based Image Analyses of Environmental Enteric Dysfunction Reveal an Immunologic and Metabolic Pathogenesis of Intestinal Failure Open
View article: Participant Registration Form For Mapping the Early Childhood Gut Across Ancestry, Geography, and Environment (Gut-AGE) v1
Participant Registration Form For Mapping the Early Childhood Gut Across Ancestry, Geography, and Environment (Gut-AGE) v1 Open
The gastrointestinal (GI) system has a critical role in growth and development during infancy and early childhood, with early development continuing to influence health outcomes into adulthood. Several GI diseases are currently being chara…
View article: Image-Level Uncertainty in Pseudo-Label Selection for Semi-Supervised Segmentation
Image-Level Uncertainty in Pseudo-Label Selection for Semi-Supervised Segmentation Open
Advancements in deep learning techniques have proved useful in biomedical image segmentation. However, the large amount of unlabeled data inherent in biomedical imagery, particularly in digital pathology, creates a semi-supervised learning…
View article: Identifying Metabolic Shifts in Crohn's Disease Using' Omics-Driven Contextualized Computational Metabolic Network Models
Identifying Metabolic Shifts in Crohn's Disease Using' Omics-Driven Contextualized Computational Metabolic Network Models Open
Crohn's disease (CD) is a chronic inflammatory disease of the gastrointestinal tract. A clear gap in our existing CD diagnostics and current disease management approaches is the lack of highly specific biomarkers that can be used to stream…
View article: Association of Anti-Rotavirus IgA Seroconversion with Growth, Environmental Enteric Dysfunction and Enteropathogens in Rural Pakistani Infants
Association of Anti-Rotavirus IgA Seroconversion with Growth, Environmental Enteric Dysfunction and Enteropathogens in Rural Pakistani Infants Open
Clinical Trials ID: NCT03588013.
View article: Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan
Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan Open
The relationship between environmental factors and child health is not well understood in rural Pakistan. This study characterized the environmental factors related to the morbidity of acute respiratory infections (ARIs), diarrhea, and gro…
View article: Geospatial and Social Factors Influencing Morbidity due to Acute Infection in Pediatric Patients in Matiari, Rural Pakistan.
Geospatial and Social Factors Influencing Morbidity due to Acute Infection in Pediatric Patients in Matiari, Rural Pakistan. Open
Infectious disease is the leading cause of mortality in children under five. This study has investigated environmental factors related to the morbidity of acute respiratory infections (ARIs), diarrhea, and growth using geographical informa…