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Published on in Vol 5 (2026)

This is a member publication of Tulane University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81552, first published .
Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation

Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation

Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation

Journals

  1. Wenzheng H, Agyemang E, Srivastav S, Shaffer J, Kakraba S. Artificial Intelligence–Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics. JMIR Aging 2025;8:e70272 View
  2. Harshvardhan Tanpure , Dattatray Jirekar . Development and Validation of a Simultaneous HPLC Method for Quantification of Atenolol and Amlodipine Besylate in Tablet Form. International Journal of Scientific Research in Science and Technology 2026;13(1):399 View
  3. Kakraba S, Agyemang E, Srivastav S. Cognitive sovereignty and decolonial public health: reclaiming epistemic authority in the global AI era. Frontiers in Public Health 2026;14 View
  4. Kakraba S, Yadem A, Abraham K, Chaudhry F, Agyemang E. Unraveling protein secrets: machine learning unveils novel biologically significant associations among amino acids. Network Modeling Analysis in Health Informatics and Bioinformatics 2026;15(1) View