Journal Article
Journal of the American Chemical Society, vol. 144, iss. 27, pp. 12347-12356, 2022
Authors
Lingli Ni, Rachit Khare, Ricardo Bermejo-Deval, Ruixue Zhao, Lei Tao, Yue Liu, Johannes A. Lercher
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Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...
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The Human Islet Research Network (HIRN) is a large consortia with many research projects focused on understanding how beta cells are lost in type 1 diabetics (T1D) with a goal of finding how to protect against or replace the loss of functional beta cells. The consortia has multiple branches of...
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The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...
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The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...
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Nature Catalysis, vol. 6, iss. 2, pp. 204-214, 2023
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Yong Wang, Xiaofeng Chen, Hui Shi, Johannes A. Lercher
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Mukulika Bose, Alexa Sanders, Chandrav De, Ru Zhou, Priyanka Lala, Sophia Shwartz, Bhaskar Mitra, Cory Brouwer, et al.
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Journal of The Electrochemical Society, 2023
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Jijo Christudasjustus, Chathuranga Sandamal Witharamage, Venkata Bhuvaneswari Vukkum, Ganesh Walunj, Tushar Borkar, Rajeev Kumar Gupta
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Nature Communications, vol. 14, iss. 1, 2023
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Yasuaki Uehara, Yusuke Tanaka, Shuyang Zhao, Nikolaos M. Nikolaidis, Lori B. Pitstick, Huixing Wu, Jane J. Yu, Erik Zhang, et al.
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Global Change Biology, vol. 29, iss. 8, pp. 2274-2285, 2023
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Qiuyu Liu, Changhui Peng, Robert Schneider, Dominic Cyr, Nate G. McDowell, Daniel Kneeshaw
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Acta Materialia, vol. 248, pp. 118804, 2023
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Wei Qian, Pengfei Zheng, Ning Gao, Wahyu Setyawan, Peng Chen, Xing Liu, Yong Liu, Liangting Sun, et al.
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Nature Catalysis, vol. 6, iss. 1, pp. 68-79, 2023
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Ruixue Zhao, Rachit Khare, Yang Zhang, Maricruz Sanchez-Sanchez, Ricardo Bermejo-Deval, Yue Liu, Johannes A. Lercher
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New Phytologist, vol. 237, iss. 6, pp. 2069-2087, 2023
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Kenneth J. Davidson, Julien Lamour, Alistair Rogers, Kim S. Ely, Qianyu Li, Nate G. McDowell, Alexandria L. Pivovaroff, Brett T. Wolfe, et al.
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Geophysical Research Letters, vol. 50, iss. 6, 2023
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Christine A. Shields, Ashley E. Payne, Eric Jay Shearer, Michael F. Wehner, Travis Allen O’Brien, Jonathan J. Rutz, L. Ruby Leung, F. Martin Ralph, et al.
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Environmental and Resource Economics, vol. 84, iss. 4, pp. 1095-1126, 2023
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Jon Sampedro, Stephanie Waldhoff, Marcus Sarofim, Rita van Dingenen