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Published on in Vol 8 (2025)

This is a member publication of Tulane University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70272, first published .
Doctor analyzes Alzheimer's patient data on futuristic AI neural network display

Artificial Intelligence–Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics

Artificial Intelligence–Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics

Journals

  1. Kakraba S, Agyemang E, Shmookler Reis R. Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation. JMIR AI 2026;5:e81552 View
  2. 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
  3. 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
  4. Miyazaki R, Sukhbaatar A, Mori S, Kusaka T, Katagiri K, Shiga K, Kodama T. Model-guided design of lymphatic drug delivery systems using osmotic pressure, viscosity and lymph node size. Journal of Controlled Release 2026;395:115010 View
  5. Candanedo D, Agyemang E, Chaudhry F, Franks T, Taylor B, Siliezar K, Kakraba S. Leveraging machine learning algorithms and explainable AI for predicting mental health disorder treatment at the workplace. Acta Psychologica 2026;267:107081 View
  6. Araus J, Jauregui-Besó J, Segarra J, Junliang F. Affordable crop phenotyping matters. Crop and Environment 2026:100145 View