Lubaina Ehsan, MD

Lubaina Ehsan, MD
Lubaina Ehsan, MD

Chief Resident, Department of Pediatric and Adolescent Medicine

Instructor, Department of Pediatric and Adolescent Medicine


Contact Information

Patient Care Related:
Pediatrics - Oakland, 269.337.6400

Biosketch

Lubaina Ehsan, MD, is a resident physician in the Pediatrics Residency Program at Western Michigan University Homer Stryker M.D. School of Medicine. She graduated from the Aga Khan University, Karachi, Pakistan. After graduation, she worked as a research assistant from 2019 to 2021 at the University of Virginia. She worked on various projects involving computational artificial intelligence-based analysis, omics, and clinical metadata to drive innovations in diagnosis and possible treatment modalities for various gastrointestinal and global health diseases. Her clinical, teaching, and research interests include global health and maternal and child health. She plans on pursuing a fellowship in pediatric cardiology.

  • Education and Training

    • MD 2018, Aga Khan University
  • Research

    • Pediatrics
    • Global Health
  • Publications

    • Ehsan L., Fealko C., Maharaj D., Huffman C., Behrle N. Pediatric electrocardiogram interpretation improvement and confidence assessment for resident physicians via training skills workshop Progress in Pediatric Cardiology. 2024;72

    • Ehsan L., Thoe J.A., Parent J.J., Fakhoury J.D. Chylothorax related to acute SARS-CoV-2 infection in a patient with Noonan syndrome with prior uncomplicated cardiac surgeries Cardiology in the Young. 2023

    • Fernandes P., Sharma Y., Zulqarnain F., McGrew B., Shrivastava A., Ehsan L., Payne D., Dillard L., Powers D., Aldridge I., Matthews J., Kugathasan S., Fernández F.M., Gaul D., Papin J.A., Syed S. Identifying metabolic shifts in Crohn's disease using' omics-driven contextualized computational metabolic network models Scientific Reports. 2023;13

    • Khan M., Jamil Z., Ehsan L., Zulqarnain F., Srivastava S., Siddiqui S., Fernandes P., Raghib M., Sengupta S., Mujahid Z., Ahmed Z., Idrees R., Ahmed S., Umrani F., Iqbal N., Moskaluk C., Raghavan S., Cheng L., Moore S., Ali S.A., Iqbal J., Syed S. Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction The American journal of tropical medicine and hygiene. 2023;108:672-683.

    • Ahmed S., Iqbal J., Sadiq K., Umrani F., Rizvi A., Kabir F., Jamil Z., Syed S., Ehsan L., Zulqarnain F., Sajid M., Hotwani A., Rahman N., Ma J.Z., McNeal M., Ann Costa Clemens S., Talat Iqbal N., Moore S.R., Ali A. Association of Anti-Rotavirus IgA Seroconversion with Growth, Environmental Enteric Dysfunction and Enteropathogens in Rural Pakistani Infants Vaccine. 2022;40:3444-3451.

    • Akbar F., Siddiqui Z., Waheed M.T., Ehsan L., Ali S.I., Wiquar H., Valimohammed A.T., Khan S., Vohra L., Zeeshan S., Rashid Y., Moosajee M., Jabbar A.A., Zahir M.N., Zahid N., Soomro R., Ullah N.N., Ahmad I., Haider G., Ansari U., Rizvi A., Mehboobali A., Sattar A., Kirmani S. Spectrum of germline pathogenic variants using a targeted next generation sequencing panel and genotype-phenotype correlations in patients with suspected hereditary breast cancer at an academic medical centre in Pakistan Hereditary Cancer in Clinical Practice. 2022;20

    • Ehsan L., Waheed M.T., Akbar F., Siddiqui Z., Sattar A.K., Kirmani S. Challenges and opportunities in the establishment of a hereditary breast cancer clinic at an academic medical center in a low-middle income country Journal of Genetic Counseling. 2022;31:998-1002.

    • Adewole S., Yeghyayan M., Hyatt D., Ehsan L., Jablonski J., Copland A., Syed S., Brown D. Deep Learning Methods for Anatomical Landmark Detection in Video Capsule Endoscopy Images Advances in Intelligent Systems and Computing. 2021;1288:426-434.

    • Adorno W., Catalano A., Ehsan L., von Eckstaedt H.V., Barnes B., McGowan E., Syed S., Brown D.E. Advancing eosinophilic esophagitis diagnosis and phenotype assessment with deep learning computer vision BIOIMAGING 2021 - 8th International Conference on Bioimaging; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021. 2021:44-55.

    • Corden E., Siddiqui S.H., Sharma Y., Raghib M.F., Adorno W., Zulqarnain F., Ehsan L., Shrivastava A., Ahmed S., Umrani F., Rahman N., Ali R., Iqbal N.T., Moore S.R., Ali S.A., Syed S. Distance from healthcare facilities is associated with increased morbidity of acute infection in pediatric patients in matiari, pakistan International Journal of Environmental Research and Public Health. 2021;18

    • Guleria S., Shah T.U., Pulido J.V., Fasullo M., Ehsan L., Lippman R., Sali R., Mutha P., Cheng L., Brown D.E., Syed S. Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy Scientific Reports. 2021;11(1)

    • Haberman Y., Iqbal N.T., Ghandikota S., Mallawaarachchi I., Tzipi Braun , Dexheimer P.J., Rahman N., Hadar R., Sadiq K., Ahmad Z., Idress R., Iqbal J., Ahmed S., Hotwani A., Umrani F., Ehsan L., Medlock G., Syed S., Moskaluk C., Ma J.Z., Jegga A.G., Moore S.R., Ali S.A., Denson L.A. Mucosal Genomics Implicate Lymphocyte Activation and Lipid Metabolism in Refractory Environmental Enteric Dysfunction Gastroenterology. 2021;160(6):2055-2071.e0.

    • Malik A., Patel P., Ehsan L., Guleria S., Hartka T., Adewole S., Syed S. Ten Simple Rules for Engaging with Artificial Intelligence in Biomedicine Advances in Clinical Immunology, Medical Microbiology, COVID-19, and Big Data. 2021:631-645.

    • Malik A., Patel P., Ehsan L., Guleria S., Hartka T., Adewole S., Syed S. Ten simple rules for engaging with artificial intelligence in biomedicine PLoS Computational Biology. 2021;17(2)

    • Sharma Y., Ehsan L., Syed S., Brown D.E. HistoTransfer: Understanding transfer learning for histopathology BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings. 2021

    • Sharma Y., Shrivastava A., Ehsan L., Moskaluk C.A., Syed S., Brown D.E. Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification Proceedings of Machine Learning Research. 2021;143:682-698.

    • Shrivastava A., Adorno W., Sharma Y., Ehsan L., Ali S.A., Moore S.R., Amadi B., Kelly P., Syed S., Brown D.E. Self-attentive Adversarial Stain Normalization Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021;12661 LNCS:120-140.

    • Syed S., Ehsan L., Shrivastava A., Sengupta S., Khan M., Kowsari K., Guleria S., Sali R., Kant K., Kang S.J., Sadiq K., Iqbal N.T., Cheng L., Moskaluk C.A., Kelly P., Amadi B.C., Asad Ali S., Moore S.R., Brown D.E. Artificial Intelligence-based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection Journal of Pediatric Gastroenterology and Nutrition. 2021;72(6):833-841.

    • Zhao X., Setchell K.D.R., Huang R., Mallawaarachchi I., Ehsan L., Dobrzykowski E., Zhao J., Syed S., Ma J.Z., Iqbal N.T., Iqbal J., Sadiq K., Ahmed S., Haberman Y., Denson L.A., Ali S.A., Moore S.R. Bile Acid Profiling Reveals Distinct Signatures in Undernourished Children with Environmental Enteric Dysfunction Journal of Nutrition. 2021;151:3689-3700.

    • Fleming M.A., Ehsan L., Moore S.R., Levin D.E. The Enteric Nervous System and Its Emerging Role as a Therapeutic Target Gastroenterology Research and Practice. 2020;2020

    • Gao C., Ehsan L., Jones M., Khan M., Middleton J., Vergales B., Perks P., Syed S. Time to regain birth weight predicts neonatal growth velocity: A single-center experience Clinical Nutrition ESPEN. 2020;38:165-171.

    • Harrison E., Syed S., Ehsan L., Iqbal N.T., Sadiq K., Umrani F., Ahmed S., Rahman N., Jakhro S., Ma J.Z., Hughes M., Ali S.A. Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth – a four-year prospective study BMC Pediatrics. 2020;20(1)

    • Hoodbhoy Z., Ehsan L., Alvi N., Sajjad F., Asghar A., Nadeem O., Qidwai A., Hussain S., Hasan E., Altaf S., Kirmani S., Hasan B.S. Establishment of a thalassaemia major quality improvement collaborative in Pakistan Archives of Disease in Childhood. 2020;105(5):487-493.

    • Kowsari K., Sali R., Ehsan L., Adorno W., Ali A., Moore S., Amadi B., Kelly P., Syed S., Brown D. HMIC: Hierarchical medical image classification, a deep learning approach Information (Switzerland). 2020;11(6)

    • Pulido J.V., Guleria S., Ehsan L., Fasullo M., Lippman R., Mutha P., Shah T., Syed S., Brown D.E. Semi-Supervised Classification of Noisy, Gigapixel Histology Images Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020. 2020:563-568.

    • Pulido J.V., Guleriai S., Ehsan L., Shah T., Syed S., Brown D.E. Screening for Barrett's Esophagus with Probe-Based Confocal Laser Endomicroscopy Videos Proceedings - International Symposium on Biomedical Imaging. 2020;2020-April:1659-1663.

    • Sali R., Adewole S., Ehsan L., Denson L.A., Kelly P., Amadi B.C., Holtz L., Ali S.A., Moore S.R., Syed S., Brown D.E. Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020. 2020

    • Sali R., Moradinasab N., Guleria S., Ehsan L., Fernandes P., Shah T.U., Syed S., Brown D.E. Deep learning for whole-slide tissue histopathology classification: A comparative study in the identification of dysplastic and non-dysplastic barrett’s esophagus Journal of Personalized Medicine. 2020;10(4):1-16.

    • Zahr R.A., Burkhardt B.E.U., Ehsan L., Potersnak A., Greil G., Dillenbeck J., Rogers Z., Hussain T. Real-world experience measurement of liver iron concentration by R2 vs. R2 star MRI in hemoglobinopathies Diagnostics. 2020;10(10)

    • Sali R., Ehsan L., Kowsari K., Khan M., Moskaluk C.A., Syed S., Brown D.E. CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. 2019:962-967.

    • Abbas Q., Ehsan L., Jurair H., Ul Haque A. Training pediatric mechanical ventilation to front line pediatric physicians Journal of the College of Physicians and Surgeons Pakistan. 2018;28(6):492-492.

    • Ehsan L., Rashid M., Alvi N., Awais K., Nadeem O., Asghar A., Sajjad F., Fatima M., Qidwai A., Hussain S., Hasan E., Brown N., Altaf S., Hasan B., Kirmani S. Clinical utility of endocrine markers predicting myocardial siderosis in transfusion dependent thalassemia major Pediatric Blood and Cancer. 2018;65(10)

    • Jafri S.K., Ehsan L., Abbas Q., Ali F., Chand P., Ul Haque A. Frequency and outcome of acute neurologic complications after congenital heart disease surgery Journal of Pediatric Neurosciences. 2017;12(4):328-331.

  • Presentations

    • Diagnosis of congenital hyperinsulinism after Escherichia coli urosepsis in an infant. Tayliakh M, Ehsan L, Shafeey N, Reynolds L, 42nd Annual Kalamazoo Community and Health Sciences Research Day, Kalamazoo, Michigan, 04/2024
    • Hyperglycemia rather than Hypoglycemia: Beckwith-Wiedmann Syndrome Pediatric Patient with New-Onset Type 1 Diabetes Mellitus (T1DM). Ehsan L, Anz R, Asebes H, Ergun-Longmire B, 41st Annual Kalamazoo Community Medical and Health Sciences Research Day, Kalamazoo, Michigan, 05/2023
    • Insulin-responsive Severe Hypertriglyceridemia in New-onset Type 1 Diabetes Mellitus. Ehsan L, Fung J, Senti M, Mathew N, Murthi N, Ergun-Longmire B, 40th Annual Kalamazoo Community Medical and Health Sciences Research Day, Kalamazoo, Michigan, 04/2022