Gut microbiome of multiple sclerosis patients and paired household healthy controls reveal associations with disease risk and course X Zhou, R Baumann, X Gao, M Mendoza, S Singh, IK Sand, Z Xia, LM Cox, ... Cell 185 (19), 3467-3486. e16, 2022 | 164 | 2022 |
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science DR Unni, SAT Moxon, M Bada, M Brush, R Bruskiewich, JH Caufield, ... Clinical and translational science 15 (8), 1848-1855, 2022 | 73 | 2022 |
The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information JH Morris, K Soman, RE Akbas, X Zhou, B Smith, EC Meng, CC Huang, ... Bioinformatics 39 (2), btad080, 2023 | 53 | 2023 |
Biomonitoring and precision health in deep space supported by artificial intelligence RT Scott, LM Sanders, EL Antonsen, JJA Hastings, S Park, G Mackintosh, ... Nature Machine Intelligence 5 (3), 196-207, 2023 | 37 | 2023 |
Progress toward a universal biomedical data translator K Fecho, AT Thessen, SE Baranzini, C Bizon, JJ Hadlock, S Huang, ... Clinical and Translational Science, 2022 | 31 | 2022 |
Analysis of physiological signals in response to stress using ECG and respiratory signals of automobile drivers K Soman, V Alex, C Srinivas 2013 International Mutli-Conference on Automation, Computing, Communication …, 2013 | 30 | 2013 |
Biological research and self-driving labs in deep space supported by artificial intelligence LM Sanders, RT Scott, JH Yang, AA Qutub, H Garcia Martin, DC Berrios, ... Nature Machine Intelligence 5 (3), 208-219, 2023 | 29 | 2023 |
25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC neuroscience 17, 1-112, 2016 | 27 | 2016 |
Biomedical knowledge graph-optimized prompt generation for large language models K Soman, PW Rose, JH Morris, RE Akbas, B Smith, B Peetoom, ... Bioinformatics 40 (9), btae560, 2024 | 24 | 2024 |
Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights AS Tang, KP Rankin, G Cerono, S Miramontes, H Mills, J Roger, B Zeng, ... Nature Aging 4 (3), 379-395, 2024 | 24 | 2024 |
Biomedical knowledge graph-enhanced prompt generation for large language models K Soman, PW Rose, JH Morris, R E Akbas, B Smith, B Peetoom, ... arXiv e-prints, arXiv: 2311.17330, 2023 | 24 | 2023 |
Early detection of Parkinson’s disease through enriching the electronic health record using a biomedical knowledge graph K Soman, CA Nelson, G Cerono, SM Goldman, SE Baranzini, EG Brown Frontiers in Medicine 10, 1081087, 2023 | 15 | 2023 |
A hierarchical anti-Hebbian network model for the formation of spatial cells in three-dimensional space K Soman, S Chakravarthy, MM Yartsev Nature communications 9 (1), 1-15, 2018 | 15 | 2018 |
A unified hierarchical oscillatory network model of head direction cells, spatially periodic cells, and place cells K Soman, V Muralidharan, VS Chakravarthy European Journal of Neuroscience 47 (10), 1266-1281, 2018 | 15 | 2018 |
A biomedical open knowledge network harnesses the power of AI to understand deep human biology S Baranzini, K Börner, J Morris, C Nelson, K Soman, E Schleimer, ... AI magazine 43 (1), 46-58, 2022 | 14 | 2022 |
An oscillatory neural autoencoder based on frequency modulation and multiplexing K Soman, V Muralidharan, VS Chakravarthy Frontiers in computational neuroscience 12, 52, 2018 | 14 | 2018 |
A model of motion processing in the visual cortex using neural field with asymmetric Hebbian learning A Gundavarapu, VS Chakravarthy, K Soman Frontiers in Neuroscience 13, 67, 2019 | 10 | 2019 |
A Model of Multisensory Integration and its Influence on Hippocampal Spatial Cell Responses K Soman, V Muralidharan, S Chakravarthy IEEE Transactions on Cognitive and Developmental Systems, 2017 | 10 | 2017 |
Detection of exudates in human fundus image with a comparative study on methods for the optic disk detection RD Karthik Soman International Conference on Information Communication and Embedded Systems …, 2014 | 8 | 2014 |
Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights. Nat Aging 4, 379–395 AS Tang, KP Rankin, G Cerono, S Miramontes, H Mills, J Roger, B Zeng, ... | 7 | 2024 |