Skip navigation

Dr Keerthana Jaganathan

Lecturer

Department: Computer and Information Sciences

Keerthana Jaganathan

  • Please visit the Pure Research Information Portal for further information
  • Deep Learning-Based Multimodal Fusion Approach for Predicting Acute Dermal Toxicity, Madheswaran, M., Jaganathan, K., Shanmugam, L. 28 Jul 2025, In: Journal of Chemical Information and Modeling
  • Explainable AI and tree-based ensemble models: a comparative study in predicting chemical pulmonary toxicity, Jaganathan, K., Geethika, P., Ramakrishnan, S., Sundaram, D. 1 Aug 2025, In: European Physical Journal: Special Topics
  • Multi-scale multi-label feature selection via fuzzy mutual information, Mohanrasu, S., Janani, K., Keerthana, J., Rakkiyappan, R. 28 Jun 2025, In: International Journal of Machine Learning and Cybernetics
  • An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors, Jaganathan, K., Tayara, H., Chong, K. 11 Apr 2022, In: Pharmaceutics
  • XML-CIMT: Explainable machine learning (XML) model for predicting chemical-induced mitochondrial toxicity, Jaganathan, K., Ur Rehman, M., Tayara, H., Chong, K. 9 Dec 2022, In: International Journal of Molecular Sciences
  • Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets, Jaganathan, K., Tayara, H., Chong, K. 28 Jul 2021, In: International Journal of Molecular Sciences


Latest News and Features

Principal Investigators Dr Meghan Kumar and Dr Devaki Nambiar.
Northumbria University
Professor Ignazio Cabras
UKAIRS
Students
steve gilroy of northumbria university and anna disley of new writing north
More news

Back to top