3 citations · 6 across the 7 of their papers we have counts for
7 papers
Graph neural network explanations reveal a topological signature of disease-associated hubs in biological networks
Kyle Higgins, Ivan Laponogov, Dennis Veselkov +1
Graph neural networks (GNNs) are increasingly used to model biological systems, yet the reliability of post-hoc explanation methods for recovering meaningful molecular mechanisms r…
PPI-Net connects molecular protein interactions to functional processes in disease
Kyle Higgins, Guadalupe Gonzalez, Dennis Veselkov +2
Understanding how molecular alterations propagate across biological systems to drive disease remains a central challenge. Although high-throughput profiling enables comprehensive c…
The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations
Kyle Higgins, Olga P. Nyssen, Joshua Southern +6
Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen worldwide. Infecting roughly 1 in 2 individuals globally, it is the leading cause of peptic ulcer disease,…
Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes
Luis Rita, Josh Southern, Ivan Laponogov +2
In the emerging field of computational gastronomy, aligning culinary practices with scientifically supported nutritional goals is increasingly important. This study explores how la…
Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation
Hamideh Kerdegari, Kyle Higgins, Dennis Veselkov +8
The integration of artificial intelligence (AI) in medical diagnostics represents a significant advancement in managing upper gastrointestinal (GI) cancer, a major cause of global…
Graph Attentional Autoencoder for Anticancer Hyperfood Prediction
Guadalupe Gonzalez, Shunwang Gong, Ivan Laponogov +2
Recent research efforts have shown the possibility to discover anticancer drug-like molecules in food from their effect on protein-protein interaction networks, opening a potential…