Addressing bias in big data and AI for health care: A call for open science
Norori, Natalia, Hu, Qiyang, Aellen, Florence Marcelle, Faraci, Francesca Dalia, Tzovara, Athina
Published in Patterns (New York, N.Y.) (08.10.2021)
Published in Patterns (New York, N.Y.) (08.10.2021)
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SELFIES and the future of molecular string representations
Krenn, Mario, Ai, Qianxiang, Barthel, Senja, Carson, Nessa, Frei, Angelo, Frey, Nathan C., Friederich, Pascal, Gaudin, Théophile, Gayle, Alberto Alexander, Jablonka, Kevin Maik, Lameiro, Rafael F., Lemm, Dominik, Lo, Alston, Moosavi, Seyed Mohamad, Nápoles-Duarte, José Manuel, Nigam, AkshatKumar, Pollice, Robert, Rajan, Kohulan, Schatzschneider, Ulrich, Schwaller, Philippe, Skreta, Marta, Smit, Berend, Strieth-Kalthoff, Felix, Sun, Chong, Tom, Gary, Falk von Rudorff, Guido, Wang, Andrew, White, Andrew D., Young, Adamo, Yu, Rose, Aspuru-Guzik, Alán
Published in Patterns (New York, N.Y.) (14.10.2022)
Published in Patterns (New York, N.Y.) (14.10.2022)
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Journal Article
DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge
Liu, Ruhan, Wang, Xiangning, Wu, Qiang, Dai, Ling, Fang, Xi, Yan, Tao, Son, Jaemin, Tang, Shiqi, Li, Jiang, Gao, Zijian, Galdran, Adrian, Poorneshwaran, J.M., Liu, Hao, Wang, Jie, Chen, Yerui, Porwal, Prasanna, Wei Tan, Gavin Siew, Yang, Xiaokang, Dai, Chao, Song, Haitao, Chen, Mingang, Li, Huating, Jia, Weiping, Shen, Dinggang, Sheng, Bin, Zhang, Ping
Published in Patterns (New York, N.Y.) (10.06.2022)
Published in Patterns (New York, N.Y.) (10.06.2022)
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Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science
Trewartha, Amalie, Walker, Nicholas, Huo, Haoyan, Lee, Sanghoon, Cruse, Kevin, Dagdelen, John, Dunn, Alexander, Persson, Kristin A., Ceder, Gerbrand, Jain, Anubhav
Published in Patterns (New York, N.Y.) (08.04.2022)
Published in Patterns (New York, N.Y.) (08.04.2022)
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Journal Article
The All of Us Research Program: Data quality, utility, and diversity
Ramirez, Andrea H., Halvorson, Alese, Qian, Jun, Mayo, Kelsey, Basford, Melissa, Deflaux, Nicole, Muthuraman, Karthik N., Xu, Hua, Wilkins, Consuelo, Anton-Culver, Hoda, Boerwinkle, Eric, Cohn, Elizabeth, Schully, Sheri D., Argos, Maria, Cronin, Robert M., O’Donnell, Christopher, Fouad, Mona, Greenland, Philip, Hebbring, Scott J., Karlson, Elizabeth W., Khatri, Parinda, Korf, Bruce, Sodeke, Stephen, Wilbanks, John, Hentges, Justin, Mockrin, Stephen, Lunt, Christopher, Devaney, Stephanie A., Gebo, Kelly, Denny, Joshua C., Harris, Paul A., Roden, Dan M., Ahmedani, Brian, Cole Johnson, Christine D., Ahsan, Habib, Antoine-LaVigne, Donna, Anton-Culver, Hoda, Topol, Eric, Jain, Praduman, Korf, Bruce, Behringer, Melissa, Gharavi, Ali G., Hripcsak, George, Bier, Louise, Hebbring, Scott Joseph, Burnside, Elizabeth, Drezner, Marc K., Channamsetty, Veena, Montalvo, Wanda, Chinea, Carmen, Jenks, Nancy, Cicek, Mine, Thibodeau, Steve, Collier, Ever, Winkler, Joyce, Corcoran, John, Daviglus, Martha, Denny, Joshua, Doheny, Kim, Eichler, Evan, Lennon, Niall, Gabriel, Stacey, Gibbs, Richard, Gil Rico, Edgar M., Glazer, David, Greenland, Philip, Hogan, William R., Pollan, Cliff, Okun, Sally, Karlson, Elizabeth W., Smoller, Jordan, Ross, Margaret Elizabeth, Kaushal, Rainu, Khatri, Parinda, Kheterpal, Vik, Ojo, Akinlolu, Moreno, Francisco A., Menon, Usha, Malik-Gagnon, Lynda, Mangravite, Lara, Marallo, Adria, Visweswaran, Shyam, Reis, Steven, Moore, John, Talavera, Gregory, O'Donnell, Christopher, Ohno-Machado, Lucila, Randal, Fornessa, Theodorou, Andreas A., Roxas-Murray, Mercedita, Stark, Louisa, Tepp, Ronnie, Topper, Scott, Weidman, Lisa, Weiss, Scott T., Wellis, David, Whittle, Jeffrey, Wilson, Amanda, Zuchner, Stephan, Zwick, Michael E.
Published in Patterns (New York, N.Y.) (12.08.2022)
Published in Patterns (New York, N.Y.) (12.08.2022)
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Audio self-supervised learning: A survey
Liu, Shuo, Mallol-Ragolta, Adria, Parada-Cabaleiro, Emilia, Qian, Kun, Jing, Xin, Kathan, Alexander, Hu, Bin, Schuller, Björn W.
Published in Patterns (New York, N.Y.) (09.12.2022)
Published in Patterns (New York, N.Y.) (09.12.2022)
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Recovering large-scale battery aging dataset with machine learning
Tang, Xiaopeng, Liu, Kailong, Li, Kang, Widanage, Widanalage Dhammika, Kendrick, Emma, Gao, Furong
Published in Patterns (New York, N.Y.) (13.08.2021)
Published in Patterns (New York, N.Y.) (13.08.2021)
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Are we ready for a new paradigm shift? A survey on visual deep MLP
Liu, Ruiyang, Li, Yinghui, Tao, Linmi, Liang, Dun, Zheng, Hai-Tao
Published in Patterns (New York, N.Y.) (08.07.2022)
Published in Patterns (New York, N.Y.) (08.07.2022)
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Can large language models reason about medical questions?
Liévin, Valentin, Hother, Christoffer Egeberg, Motzfeldt, Andreas Geert, Winther, Ole
Published in Patterns (New York, N.Y.) (08.03.2024)
Published in Patterns (New York, N.Y.) (08.03.2024)
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Antibody structure prediction using interpretable deep learning
Ruffolo, Jeffrey A., Sulam, Jeremias, Gray, Jeffrey J.
Published in Patterns (New York, N.Y.) (11.02.2022)
Published in Patterns (New York, N.Y.) (11.02.2022)
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