Swanson, Kyle

A Deep Learning Approach to Antibiotic Discovery

Stokes, J. M., Yang, K., Swanson, K., Jin, W., Cubillos-Ruiz, A., Donghia, N. M., MacNair, C. R., French, S., Carfrae, L. A., Bloom-Ackermann, Z., et al. (2020) · Cell

Computational Drug Discovery MethodsMicrobial Natural Products and Biosynthesis

Cited by 2,463

Analyzing Learned Molecular Representations for Property Prediction

Yang, K., Swanson, K., Jin, W., Coley, C., Eiden, P., Gao, H., Guzman-Perez, A., Hopper, T., Kelley, B., Mathea, M., et al. (2019) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 1,923

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment.

Swanson, K., Wu, E., Zhang, A., Alizadeh, A. A., & Zou, J. (2023) · Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 597

Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

Lehman, C. D., Yala, A., Schuster, T., Dontchos, B., Bahl, M., Swanson, K., & Barzilay, R. (2019) · Radiology

Digital Radiography and Breast ImagingAI in cancer detection

Cited by 294

The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies

Swanson, K., Wu, W., Bulaong, N. L., Pak, J. E., & Zou, J. (2025) · Nature

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 169

Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens

Wu, Z., Trevino, A. E., Wu, E., Swanson, K., Kim, H. J., D’Angio, H. B., Preska, R., Charville, G. W., Dalerba, P. D., Egloff, A. M., et al. (2022) · Nature Biomedical Engineering

Single-cell and spatial transcriptomicsAI in cancer detection

Cited by 154

The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation

Swanson, K., Wu, W., Bulaong, N. L., Pak, J. E., & Zou, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory)

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 56

UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels

Silberg, J., Swanson, K., Simon, E., Zhang, A., Ghazizadeh, Z., Ogden, S., Hamadeh, H., & Zou, J. (2024) · neural information processing systems

Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

Cited by 9