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Charlotte Nelson, PhD
Charlotte Nelson, PhD
CEO Mate Bioservices
在 matebioservices.com 的电子邮件经过验证 - 首页
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引用次数
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年份
Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models
E Cekanaviciute, BB Yoo, TF Runia, JW Debelius, S Singh, CA Nelson, ...
Proceedings of the National Academy of Sciences 114 (40), 10713-10718, 2017
9232017
Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings
CA Nelson, AJ Butte, SE Baranzini
Nature communications 10 (1), 3045, 2019
722019
Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis
CA Nelson, R Bove, AJ Butte, SE Baranzini
Journal of the American Medical Informatics Association 29 (3), 424-434, 2022
352022
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
272023
Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance
D Mavor, KA Barlow, D Asarnow, Y Birman, D Britain, W Chen, EM Green, ...
Biology Open 7 (7), bio036103, 2018
202018
Knowledge network embedding of transcriptomic data from spaceflown mice uncovers signs and symptoms associated with terrestrial diseases
CA Nelson, AU Acuna, AM Paul, RT Scott, AJ Butte, E Cekanaviciute, ...
Life 11 (1), 42, 2021
192021
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
172023
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
142023
Mutations in domain IV of elongation factor EF-G confer− 1 frameshifting
D Niblett, C Nelson, CS Leung, G Rexroad, J Cozy, J Zhou, L Lancaster, ...
Rna 27 (1), 40-53, 2021
122021
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
102022
Biomedical knowledge graph-enhanced prompt generation for large language models
K Soman, PW Rose, JH Morris, RE Akbas, B Smith, B Peetoom, ...
arXiv preprint arXiv:2311.17330, 2023
92023
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
62024
Beyond low earth orbit: biomonitoring, artificial intelligence, and precision space health
RT Scott, EL Antonsen, LM Sanders, JJA Hastings, S Park, G Mackintosh, ...
arXiv preprint arXiv:2112.12554, 2021
52021
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
32023
Time-aware embeddings of clinical data using a knowledge graph
K Soman, CA Nelson, G Cerono, SE Baranzini
Pacific Symposium on Biocomputing 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022
22022
Beyond low earth orbit: biological research, artificial intelligence, and self-driving labs
LM Sanders, JH Yang, RT Scott, AA Qutub, HG Martin, DC Berrios, ...
arXiv preprint arXiv:2112.12582, 2021
22021
Leveraging Electronic Medical Records and Knowledge Networks to Predict Disease Onset and Gain Biological Insight Into Alzheimer’s Disease
A Tang, KP Rankin, G Cerono, S Miramontes, H Mills, J Roger, B Zeng, ...
medRxiv, 2023.03. 14.23287224, 2023
12023
Towards biomedical interpretability: methods for knowledge graph machine learning research in medicine
C Nelson
University of California, San Francisco, 2020
12020
Cosmic kidney disease: an integrated pan-omic, physiological and morphological study into spaceflight-induced renal dysfunction
K Siew, KA Nestler, C Nelson, V D’Ambrosio, C Zhong, Z Li, A Grillo, ...
Nature Communications 15 (1), 4923, 2024
2024
Predictive Modeling Leveraging Electronic Health Records Identifies Early Predictors of Alzheimer’s Disease
AS Tang, KP Rankin, G Cerano, S Miramontes, H Mills, T Oskotsky, ...
Alzheimer's & Dementia 19, e077061, 2023
2023
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