A deep learning approach to antibiotic discovery JM Stokes, K Yang, K Swanson, W Jin, A Cubillos-Ruiz, NM Donghia, ... Cell 180 (4), 688-702. e13, 2020 | 1824 | 2020 |
Analyzing learned molecular representations for property prediction K Yang, K Swanson, W Jin, C Coley, P Eiden, H Gao, A Guzman-Perez, ... Journal of chemical information and modeling 59 (8), 3370-3388, 2019 | 1391 | 2019 |
Mammographic breast density assessment using deep learning: clinical implementation CD Lehman, A Yala, T Schuster, B Dontchos, M Bahl, K Swanson, ... Radiology 290 (1), 52-58, 2019 | 267 | 2019 |
Uncertainty quantification using neural networks for molecular property prediction L Hirschfeld, K Swanson, K Yang, R Barzilay, CW Coley Journal of Chemical Information and Modeling 60 (8), 3770-3780, 2020 | 217 | 2020 |
Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii G Liu, DB Catacutan, K Rathod, K Swanson, W Jin, JC Mohammed, ... Nature Chemical Biology 19 (11), 1342-1350, 2023 | 134 | 2023 |
From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment K Swanson, E Wu, A Zhang, AA Alizadeh, J Zou Cell 186 (8), 1772-1791, 2023 | 132 | 2023 |
Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens Z Wu, AE Trevino, E Wu, K Swanson, HJ Kim, HB D’Angio, R Preska, ... Nature Biomedical Engineering 6 (12), 1435-1448, 2022 | 58 | 2022 |
Rationalizing text matching: Learning sparse alignments via optimal transport K Swanson, L Yu, T Lei arXiv preprint arXiv:2005.13111, 2020 | 43 | 2020 |
Deep learning for automated classification and characterization of amorphous materials K Swanson, S Trivedi, J Lequieu, K Swanson, R Kondor Soft matter 16 (2), 435-446, 2020 | 43 | 2020 |
Improving molecular design by stochastic iterative target augmentation K Yang, W Jin, K Swanson, R Barzilay, T Jaakkola International Conference on Machine Learning, 10716-10726, 2020 | 22 | 2020 |
Message passing neural networks for molecular property prediction K Swanson Massachusetts Institute of Technology, 2019 | 21 | 2019 |
Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN Y Rosen, M Brbić, Y Roohani, K Swanson, Z Li, J Leskovec Nature Methods, 1-9, 2024 | 14 | 2024 |
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics K Swanson, G Liu, DB Catacutan, A Arnold, J Zou, JM Stokes Nature Machine Intelligence 6 (3), 338-353, 2024 | 13 | 2024 |
7-UP: Generating in silico CODEX from a small set of immunofluorescence markers E Wu, AE Trevino, Z Wu, K Swanson, HJ Kim, HB D’Angio, R Preska, ... PNAS nexus 2 (6), pgad171, 2023 | 13 | 2023 |
Building a Production Model for Retrieval-Based Chatbots K Swanson, L Yu, C Fox, J Wohlwend, T Lei 1st Workshop on NLP for Conversational AI at the 57th Annual Meeting of the …, 2019 | 13 | 2019 |
ADMET-AI: A machine learning ADMET platform for evaluation of large-scale chemical libraries K Swanson, P Walther, J Leitz, S Mukherjee, JC Wu, RV Shivnaraine, ... BioRxiv, 2023.12. 28.573531, 2023 | 7 | 2023 |
SPACE-GM: geometric deep learning of disease-associated microenvironments from multiplex spatial protein profiles Z Wu, AE Trevino, E Wu, K Swanson, HJ Kim, HB D’Angio, R Preska, ... bioRxiv, 2022.05. 12.491707, 2022 | 7 | 2022 |
File matching with rationale alignment using neural networks and an optimal transport algorithm K Swanson, L Yu, T Lei US Patent 11,238,278, 2022 | 3 | 2022 |
Predicting immune escape with pretrained protein language model embeddings K Swanson, H Chang, J Zou Machine Learning in Computational Biology, 110-130, 2022 | 2 | 2022 |
UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels J Silberg, K Swanson, E Simon, A Zhang, Z Ghazizadeh, S Ogden, ... medRxiv, 2024.06. 21.24309315, 2024 | | 2024 |