Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases
Trottet C, Allam A, Horvath A, Finckh A, Hügle T, Adler S, Kyburz D, Micheroli R, Krauthammer M, Ospelt C. Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases. PLOS Digital Health 2024, 3: e0000422. PMID: 38935600, PMCID: PMC11210792, DOI: 10.1371/journal.pdig.0000422.Peer-Reviewed Original ResearchNeural networkMulti-task learning modelShort-term memory networkMedical expert knowledgeFeature representationAttention layerLatent representationLatent embeddingsDeep learningK-nearestMemory networkTree-basedLearning modelsExpert knowledgeBaseline strategyActivity predictionScoring networkRegression algorithmAttribution methodsNetworkChronic inflammatory joint diseaseStatic baselinesRepresentationModular modelPatient representationMachine learning prediction of prime editing efficiency across diverse chromatin contexts
Mathis N, Allam A, Tálas A, Kissling L, Benvenuto E, Schmidheini L, Schep R, Damodharan T, Balázs Z, Janjuha S, Ioannidi E, Böck D, van Steensel B, Krauthammer M, Schwank G. Machine learning prediction of prime editing efficiency across diverse chromatin contexts. Nature Biotechnology 2024, 1-8. PMID: 38907037, DOI: 10.1038/s41587-024-02268-2.Peer-Reviewed Original Research