4 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…
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…