| Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ... Nature medicine 28 (1), 154-163, 2022 | 267 | 2022 |
| Montmorillonites can tightly bind glyphosate and paraquat reducing toxin exposures and toxicity M Wang, AA Orr, S He, C Dalaijamts, WA Chiu, P Tamamis, TD Phillips ACS omega 4 (18), 17702-17713, 2019 | 37 | 2019 |
| Deep learning models for predicting RNA degradation via dual crowdsourcing HK Wayment-Steele, W Kladwang, AM Watkins, DS Kim, B Tunguz, ... Nature Machine Intelligence 4 (12), 1174-1184, 2022 | 18 | 2022 |
| Insights into the interactions of bisphenol and phthalate compounds with unamended and carnitine-amended montmorillonite clays AA Orr, S He, M Wang, A Goodall, SE Hearon, TD Phillips, P Tamamis Computers & chemical engineering 143, 107063, 2020 | 15 | 2020 |
| RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning S He, B Gao, R Sabnis, Q Sun Briefings in Bioinformatics 24 (1), bbac581, 2023 | 8 | 2023 |
| Eterna Participants and R HK Wayment-Steele, W Kladwang, AM Watkins, DS Kim, B Tunguz, ... Das, Nat. Mach. Intell 4, 1174-1184, 2022 | 6 | 2022 |
| Nucleic Transformer: Deep Learning on Nucleic Acids with Self-Attention and Convolutions S He, B Gao, R Sabnis, Q Sun bioRxiv, 2021.01. 28.428629, 2021 | 5 | 2021 |
| Predictive models of RNA degradation through dual crowdsourcing HK Wayment-Steele, W Kladwang, AM Watkins, DS Kim, B Tunguz, ... | 1 | 2021 |
| Mesoscopic models for electrohydrodynamic interactions of polyelectrolytes DI Kopelevich, S He, RJ Montes, JE Butler Journal of Fluid Mechanics 915, A59, 2021 | 1 | 2021 |
| Systems and methods for evaluation of structure and property of polynucleotides SUN Qing, S He US Patent App. 18/273,293, 2024 | | 2024 |
| Ribonanza: deep learning of RNA structure through dual crowdsourcing S He, R Huang, J Townley, RC Kretsch, TG Karagianes, DBT Cox, H Blair, ... bioRxiv, 2024.02. 24.581671, 2024 | | 2024 |
| Nucleic Transformer: Classifying DNA Sequences with Self-Attention and Convolutions S He, B Gao, R Sabnis, Q Sun ACS Synthetic Biology 12 (11), 3205-3214, 2023 | | 2023 |
| Deep learning models for predicting RNA degradation via dual crowdsourcing (preprint) HK Wayment-Steele, W Kladwang, AM Watkins, B Tunguz, W Reade, ... | | 2021 |
| Nucleic Transformer: Deep Learning on Nucleic Acids with Self-attention and Convolutions (preprint) S He, B Gao, R Sabnis, Q Sun | | 2021 |
| Molecular Modeling and Simulations Uncovering the Sorption of Toxic Compounds on Unamended and Carnitine-Amended Montmorillonite Clays A Orr, M Wang, S He, JM Jakubowski, SE Hearon, TD Phillips, P Tamamis 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Computational Modeling and Simulation Studies on the Binding of Toxic Compounds to Montmorillonite Clay S He, A Orr, M Wang, SE Hearon, TD Phillips, P Tamamis 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Mesoscopic Models for Electro-Hydrodynamic Interactions of Polyelectrolytes S He, RJ Montes, J Butler, D Kopelevich 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Data-Driven Design of Functional Amyloid Biomaterials SVR Jonnalagadda, S He, JM Jakubowski, A Orr, XL Lim, C Kokotidou, ... 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Migration of DNA Due to a Combination of Parallel Pressure Gradient and External Electric Field S He, RJ Montes, D Kopelevich, J Butler 2017 AIChE Annual Meeting, 2017 | | 2017 |
Asuka A. OrrScientist - Computational Drug Design, SilcsBio LLCVerified email at outerbanks.umaryland.edu
