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Found 3 papers, 2 papers with code
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
For Artificial Intelligence to have a greater impact in biology and medicine, it is crucial that recommendations are both accurate and transparent.
A Unified View of Relational Deep Learning for Drug Pair Scoring
In recent years, numerous machine learning models which attempt to solve polypharmacy side effect identification, drug-drug interaction prediction and combination therapy design tasks have been proposed.
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
We propose the molecular omics network (MOOMIN) a multimodal graph neural network used by AstraZeneca oncologists to predict the synergy of drug combinations for cancer treatment.
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