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Patrick Schwab

Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World
2025 · Srijit Seal, Manas Mahale, et al. · Chemical Research in Toxicology · 140
Clinical Predictive Models for COVID-19: Systematic Study
2020 · Patrick Schwab, August DuMont Schütte, et al. · Journal of Medical Internet Research · 101
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Global healthcare fairness: We should be sharing more, not less, data
2022 · Kenneth P. Seastedt, Patrick Schwab, et al. · PLOS Digital Health · 91
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Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation
2021 · DuMont Schütte, August, Hetzel, Jürgen, et al. · Europe PMC (PubMed Central) · 87
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
2020 · Patrick Schwab, Lorenz Linhardt, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 69
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
2019 · Schwab, Patrick, Karlen, Walter · arXiv (Cornell University) · 69
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Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge
2021 · Solveig K. Sieberts, Jennifer Schaff, et al. · npj Digital Medicine · 62
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Real-time Prediction of COVID-19 related Mortality using Electronic Health Records
2021 · Schwab, Patrick, Mehrjou, Arash, et al. · RePEc: Research Papers in Economics · 52
Real-time prediction of COVID-19 related mortality using electronic health records
2021 · Patrick Schwab, Arash Mehrjou, et al. · Nature Communications · 50
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PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data
2019 · Schwab, Patrick, Karlen, Walter · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 50
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Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks
2017 · Patrick Schwab, Gaetano Claudio Scebba, et al. · Computing in cardiology · 49
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Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks
2018 · Schwab, Patrick, Linhardt, Lorenz, et al. · arXiv (Cornell University) · 46
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Varicella-zoster virus reactivation and the risk of dementia
2025 · Vitaly Polisky, Maria Littmann, et al. · Nature Medicine · 43
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A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis
2025 · Fenglin Liu, Zheng Li, et al. · npj Digital Medicine · 35
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A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data
2020 · Patrick Schwab, Walter Karlen · IEEE Journal of Biomedical and Health Informatics · 34
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Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
2018 · Schwab, Patrick, Miladinovic, Djordje, et al. · Repository for Publications and Research Data (ETH Zurich) · 33
Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data
2023 · Heather Marriott, Renata Kabiljo, et al. · Acta Neuropathologica Communications · 31
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A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data
2021 · Schwab, Patrick, Karlen, Walter · Repository for Publications and Research Data (ETH Zurich) · 31
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
2019 · Patrick Schwab, Djordje Miladinovic, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 30
A large-scale benchmark for network inference from single-cell perturbation data
2025 · Mathieu Chevalley, Yusuf H. Roohani, et al. · Communications Biology · 25
Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection
2019 · Carl Muroi, Sando Meier, et al. · Neurocritical Care · 25
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A collaborative large language model for drug analysis
2025 · Hongjian Zhou, Fenglin Liu, et al. · Nature Biomedical Engineering · 19
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Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare
2024 · Anshul Thakur, Soheila Molaei, et al. · npj Digital Medicine · 17
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In silico biological discovery with large perturbation models
2025 · Djordje Miladinovic, Tobias Höppe, et al. · Nature Computational Science · 16
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Detection of diabetes from whole-body MRI using deep learning
2021 · Benedikt Dietz, Jürgen Machann, et al. · JCI Insight · 16
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Works count: 72
Citation count: 1,188
H-index: 17
I10-index: 27
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