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

  • Marium Khan
  • , Zehra Jamil
  • , Lubaina Ehsan
  • , Fatima Zulqarnain
  • , Sanjana Srivastava
  • , Saman Siddiqui
  • , Philip Fernandes
  • , Muhammad Raghib
  • , Saurav Sengupta
  • , Zia Mujahid
  • , Zubair Ahmed
  • , Romana Idrees
  • , Sheraz Ahmed
  • , Fayaz Umrani
  • , Najeeha Iqbal
  • , Christopher Moskaluk
  • , Shyam Raghavan
  • , Lin Cheng
  • , Sean Moore
  • , Syed Asad Ali
    • Junaid Iqbal, Sana Syed

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Quantitative Morphometry and Machine Learning Model to Explore Duodenal and Rectal Mucosal Tissue of Children with Environmental Enteric Dysfunction'. Together they form a unique fingerprint.

Medicine and Dentistry

Immunology and Microbiology

Pharmacology, Toxicology and Pharmaceutical Science