Biography and Research Information
OverviewAI-generated summary
Lubaina Ehsan's research focuses on applying artificial intelligence and advanced analytical techniques to understand and diagnose complex medical conditions, particularly in pediatric populations. Her work has investigated environmental enteric dysfunction (EED), a condition affecting children, by utilizing mucosal genomics, bile acid profiling, and quantitative morphometry. Ehsan has explored the use of machine learning and deep learning for diagnosing enteropathies and detecting dysplasia in histopathology and confocal laser endomicroscopy images. She has also contributed to understanding metabolic shifts in diseases like Crohn's disease through omics-driven computational metabolic network models.
Ehsan's recent publications highlight her interdisciplinary approach, bridging computational methods with clinical research. She has co-authored studies with collaborators including Joshua Daily, Krittika Joshi, Murad Almasri, and Stephen T. Dalby at the University of Arkansas for Medical Sciences. Her scholarship metrics include an h-index of 14, with 75 total publications and 668 citations.
Metrics
- h-index: 14
- Publications: 76
- Citations: 677
Selected Publications
-
Lifetime Earnings in Pediatric Cardiology: A Net Present Value Analysis of Academic and Private Practice Pathways (2026)
-
Pediatric Heart Transplantation: A Progress Report (2025)
-
The Assistant Professor Pay Gap: A Hidden Contributor to the Pediatric Subspecialty Workforce Crisis? (2025)
-
Lifetime Earnings in Pediatric Cardiology: A Net Present Value Analysis of Academic and Private Practice Pathways (2025)
-
When High-Risk Ductal Stenting Goes Wrong: Use of Percutaneous VV ECMO Support and Acute Left Pulmonary Artery Loss (2025)
Collaboration Network
Top Collaborators
Sana Syed
University of Virginia (US)
25 shared publications
- Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction
- Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
- Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy
- Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
- Bile Acid Profiling Reveals Distinct Signatures in Undernourished Children with Environmental Enteric Dysfunction
Showing 5 of 25 shared publications
Donald E. Brown
University of Virginia (US)
15 shared publications
- Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
- Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy
- Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
- Self-attentive Adversarial Stain Normalization
- Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision
Showing 5 of 15 shared publications
Sean R. Moore
University of Virginia (US)
13 shared publications
- Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction
- Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
- Bile Acid Profiling Reveals Distinct Signatures in Undernourished Children with Environmental Enteric Dysfunction
- Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction
- Self-attentive Adversarial Stain Normalization
Showing 5 of 13 shared publications
Christopher A. Moskaluk
University of Virginia (US)
12 shared publications
- Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
- Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
- Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction
- DEEP LEARNING TISSUE ANALYSIS DIAGNOSES AND PREDICTS TREATMENT RESPONSE IN EOSINOPHILIC ESOPHAGITIS
- Duodenal quantitative mucosal morphometry in children with environmental enteric dysfunction: a cross-sectional multicountry analysis
Showing 5 of 12 shared publications
Aman Shrivastava
University of Virginia (US)
11 shared publications
- Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
- Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
- Identifying metabolic shifts in Crohn's disease using 'omics-driven contextualized computational metabolic network models
- Self-attentive Adversarial Stain Normalization
- Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan
Showing 5 of 11 shared publications
Najeeha Talat Iqbal
Aga Khan University (PK)
11 shared publications
- Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction
- Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
- Bile Acid Profiling Reveals Distinct Signatures in Undernourished Children with Environmental Enteric Dysfunction
- Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction
- Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan
Showing 5 of 11 shared publications
Sheraz Ahmed
10 shared publications
- Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction
- Bile Acid Profiling Reveals Distinct Signatures in Undernourished Children with Environmental Enteric Dysfunction
- Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction
- Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan
- Association of Anti-Rotavirus IgA Seroconversion with Growth, Environmental Enteric Dysfunction and Enteropathogens in Rural Pakistani Infants
Showing 5 of 10 shared publications
Asad Ali
Aga Khan University (PK)
9 shared publications
- Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction
- Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
- Bile Acid Profiling Reveals Distinct Signatures in Undernourished Children with Environmental Enteric Dysfunction
- Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction
- Self-attentive Adversarial Stain Normalization
Showing 5 of 9 shared publications
Fatima Zulqarnain
University of Virginia (US)
9 shared publications
- Identifying metabolic shifts in Crohn's disease using 'omics-driven contextualized computational metabolic network models
- Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction
- Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan
- Association of Anti-Rotavirus IgA Seroconversion with Growth, Environmental Enteric Dysfunction and Enteropathogens in Rural Pakistani Infants
- Geospatial and Social Factors Influencing Morbidity due to Acute Infection in Pediatric Patients in Matiari, Rural Pakistan.
Showing 5 of 9 shared publications
Philip Fernandes
University of Virginia (US)
7 shared publications
- Identifying metabolic shifts in Crohn's disease using 'omics-driven contextualized computational metabolic network models
- Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction
- DEEP LEARNING TISSUE ANALYSIS DIAGNOSES AND PREDICTS TREATMENT RESPONSE IN EOSINOPHILIC ESOPHAGITIS
- The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning
- IDENTIFYING RELEVANT PATHWAYS AND BIOMARKERS IN CROHN’S DISEASE USING CONTEXTUALIZED METABOLIC NETWORK MODEL
Showing 5 of 7 shared publications
Kamran Sadiq
7 shared publications
- Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction
- Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
- Bile Acid Profiling Reveals Distinct Signatures in Undernourished Children with Environmental Enteric Dysfunction
- Association of Anti-Rotavirus IgA Seroconversion with Growth, Environmental Enteric Dysfunction and Enteropathogens in Rural Pakistani Infants
- Su094 IMMUNE AND METABOLIC PATHOGENESIS OF ENVIRONMENTAL ENTERIC DYSFUNCTION IN CHILDHOOD UNDERNUTRITION: A BIRTH INCEPTION COHORT
Showing 5 of 7 shared publications
Aneeta Hotwani
Aga Khan University (PK)
7 shared publications
- Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction
- Association of Anti-Rotavirus IgA Seroconversion with Growth, Environmental Enteric Dysfunction and Enteropathogens in Rural Pakistani Infants
- Duodenal quantitative mucosal morphometry in children with environmental enteric dysfunction: a cross-sectional multicountry analysis
- Su094 IMMUNE AND METABOLIC PATHOGENESIS OF ENVIRONMENTAL ENTERIC DYSFUNCTION IN CHILDHOOD UNDERNUTRITION: A BIRTH INCEPTION COHORT
- Integrative –‘Omics and Machine-Learning-Based Image Analyses of Environmental Enteric Dysfunction Reveal an Immunologic and Metabolic Pathogenesis of Intestinal Failure
Showing 5 of 7 shared publications
Lee A. Denson
University of Cincinnati (US)
7 shared publications
- Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction
- Bile Acid Profiling Reveals Distinct Signatures in Undernourished Children with Environmental Enteric Dysfunction
- Duodenal quantitative mucosal morphometry in children with environmental enteric dysfunction: a cross-sectional multicountry analysis
- Su094 IMMUNE AND METABOLIC PATHOGENESIS OF ENVIRONMENTAL ENTERIC DYSFUNCTION IN CHILDHOOD UNDERNUTRITION: A BIRTH INCEPTION COHORT
- Integrative –‘Omics and Machine-Learning-Based Image Analyses of Environmental Enteric Dysfunction Reveal an Immunologic and Metabolic Pathogenesis of Intestinal Failure
Showing 5 of 7 shared publications
Yash Sharma
University of Virginia (US)
6 shared publications
- Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
- Self-attentive Adversarial Stain Normalization
- HistoTransfer: Understanding Transfer Learning for Histopathology
- Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
- Integrative –‘Omics and Machine-Learning-Based Image Analyses of Environmental Enteric Dysfunction Reveal an Immunologic and Metabolic Pathogenesis of Intestinal Failure
Showing 5 of 6 shared publications
Paul Kelly
University Teaching Hospital (ZM)
6 shared publications
- Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
- Self-attentive Adversarial Stain Normalization
- Duodenal quantitative mucosal morphometry in children with environmental enteric dysfunction: a cross-sectional multicountry analysis
- 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
Showing 5 of 6 shared publications
Similar Researchers
Based on overlapping research topics
Nirmeen Elmadany
University of Arkansas for Medical Sciences
Metabolomics and Mass Spectrometry Studies
Child and Adolescent Health
Bioinformatics and Genomic Networks
Kirk Simmons
University of Arkansas for Medical Sciences
Child and Adolescent Health
Bioinformatics and Genomic Networks
Disease Mechanisms Research
Mansi Chandra
University of Arkansas for Medical Sciences
Metabolomics and Mass Spectrometry Studies
Bioinformatics and Genomic Networks
Disease Mechanisms Research
Brian M. Varisco
University of Arkansas for Medical Sciences
Child and Adolescent Health
Bioinformatics and Genomic Networks
Disease Mechanisms Research
Donald G. Catanzaro
University of Arkansas at Fayetteville
Child and Adolescent Health
Bioinformatics and Genomic Networks
Disease Mechanisms Research
Alexandrea Wadley
University of Arkansas for Medical Sciences
Child and Adolescent Health
Bioinformatics and Genomic Networks
Disease Mechanisms Research