Olivia N. Tiburzi

Machine Learning for Toxicity Prediction in Low-Sample Molecular Classes

The paper proposes a framework to improve toxicity prediction for small molecular classes by fine-tuning a general model on class-specific data, outperforming classical methods and the EPA TEST tool.

Fung-AI: An AI/ML-driven pipeline for antifungal peptide discovery

The paper presents a generative AI pipeline for discovering antifungal peptides, identifying five with activity against fungal pathogens and low cytotoxicity.

Image-based Morphological Profiling Reveals Signatures of Radiation Exposure

This study uses image-based morphological profiling to detect radiation exposure signatures in fibroblasts, showing morphological changes as early as 4 hours post-exposure.