Atomic Watchtower: A Multi-Modal Machine Learning Framework for Swift Antimicrobial Resistance Prediction Using Whole Genome Sequencing and SMILES-Based Molecular Mapping
The Atomic Watchtower is presented, a multi-modal machine learning framework that incorporates Whole Genome Sequencing k-mer features alongside drug-structure data encoded as SMILES alongside drug-structure data encoded as SMILES that poses the resistance prediction task as a structural-matching problem between pathoge...