This paper is in the following e-collection/theme issue:

Drug Discovery and Clinical Trials (9) Biomedical Engineering Articles (2) Development and Evaluation of Research Methods, Instruments and Tools (769) Artificial Intelligence (2223)

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

Authors of this article:

Samuel Kakraba1, 2 Author Orcid Image ;   Edmund Fosu Agyemang1 Author Orcid Image ;   Robert J Shmookler Reis3 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

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