2 papers
cs.LG2025
A decoupled alignment kernel for peptide membrane permeability predictions
Ali Amirahmadi, Gökçe Geylan, Leonardo De Maria +3
Cyclic peptides are promising modalities for targeting intracellular sites; however, cell-membrane permeability remains a key bottleneck, exacerbated by limited public data and the…
cs.LG2024
Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
Heloisa Oss Boll, Ali Amirahmadi, Amira Soliman +2
Objective: In modern healthcare, accurately predicting diseases is a crucial matter. This study introduces a novel approach using graph neural networks (GNNs) and a Graph Transform…