Molecular signatures underlying neurofibrillary tangle susceptibility in Alzheimer’s disease von Otero-Garcia, Marcos, Mahajani, Sameehan U., Wakhloo, Debia, Tang, Weijing, Xue, Yue-Qiang, Morabito, Samuel, Pan, Jie, Oberhauser, Jane, Madira, Angela E., Shakouri, Tamara, Deng, Yongning, Allison, Thomas, He, Zihuai, Lowry, William E., Kawaguchi, Riki, Swarup, Vivek, Cobos, Inma

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Population-Level Balance in Signed Networks von Tang, Weijing, Zhu, Ji

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Cost Effectiveness of Bosentan for Pulmonary Arterial Hypertension: A Systematic Review von Liu, Jinyu, Chen, Jun, Zeng, Fang, Xie, Tian, Tang, Weijing, Qian, Xinyu, You, Ruxu, Zhang, Yu

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Survival Analysis via Ordinary Differential Equations von Tang, Weijing, He, Kevin, Xu, Gongjun, Zhu, Ji

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Cold-plasma technique enabled supported Pt single atoms with tunable coordination for hydrogen evolution reaction von Li, Jing, Zhou, Yanan, Tang, Weijing, Zheng, Jian, Gao, Xiaoping, Wang, Ning, Chen, Xiao, Wei, Min, Xiao, Xin, Chu, Wei

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Atomically dispersed metal sites stabilized on a nitrogen doped carbon carrier via N 2 glow-discharge plasma von Tang, Weijing, Li, Jing, Zheng, Jian, Chu, Wei, Wang, Ning

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Atomically dispersed metal sites stabilized on a nitrogen doped carbon carrier via N2 glow-discharge plasma von Tang, Weijing, Li, Jing, Zheng, Jian, Chu, Wei, Wang, Ning

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Abstract 11030: Impact of the New Heart Allocation Policy on Access to Heart Transplantation von Golbus, Jessica R, Tang, Weijing, Li, Jinming, Gupta, Kashvi, Walsh, Mary N, Zhu, Ji, Colvin, Monica M, Nallamothu, Brahmajee K

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Machine-learning-optimized Cas12a barcoding enables the recovery of single-cell lineages and transcriptional profiles von Hughes, Nicholas W., Qu, Yuanhao, Zhang, Jiaqi, Tang, Weijing, Pierce, Justin, Wang, Chengkun, Agrawal, Aditi, Morri, Maurizio, Neff, Norma, Winslow, Monte M., Wang, Mengdi, Cong, Le

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Greater geographic sharing and heart transplantation waitlist outcomes following the 2018 heart allocation policy von Golbus, Jessica R., Li, Jinming, Cascino, Thomas M., Tang, Weijing, Zhu, Ji, Colvin, Monica, Walsh, Mary Norine, Nallamothu, Brahmajee K.

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Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: A multicenter study von Sun, Zepang, Jiang, Yuming, Chen, Chuanli, Zheng, Huan, Huang, Weicai, Xu, Benjamin, Tang, Weijing, Yuan, Qingyu, Zhou, Kangneng, Liang, Xiaokun, Chen, Hao, Han, Zhen, Feng, Hao, Yu, Shitong, Hu, Yanfeng, Yu, Jiang, Zhou, Zhiwei, Wang, Wei, Xu, Yikai, Li, Guoxin

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Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis von Ioannou, George N, Tang, Weijing, Beste, Lauren A, Tincopa, Monica A, Su, Grace L, Van, Tony, Tapper, Elliot B, Singal, Amit G, Zhu, Ji, Waljee, Akbar K

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Parishin B blocking TRIB3-AKT1 interaction inhibits breast cancer lung metastasis von Cheng, Xiongtao, Sun, Jianguo, Chen, Shouhong, Wang, Nan, Tang, Weijing, Xia, Zijian, Shu, Yuhong, Gao, Shouhong, Wang, Zhipeng, Wang, Xinxia, Shao, Rongzi, Cao, Jianxiong

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Digestive Manifestations in Patients Hospitalized With Coronavirus Disease 2019 von Elmunzer, B. Joseph, Spitzer, Rebecca L., Merchant, Ambreen A., West, Mary K., Qayed, Emad, Nustas, Rosemary, Zakaria, Ali, Piper, Marc S., Taylor, Jason R., Jaza, Lujain, Forbes, Nauzer, Chau, Millie, Lara, Luis F., Papachristou, Georgios I., Zhou, Selena, Kushnir, Vladimir M., Lenyo, Alexandria M., McLeod, Caroline G., Amin, Sunil, Kuftinec, Gabriela N., Yadav, Dhiraj, Fox, Charlie, Kolb, Jennifer M., Pawa, Swati, Pawa, Rishi, Canakis, Andrew, Huang, Christopher, Jamil, Laith H., Glamour, Benita K., Smith, Zachary L., Hanley, Katherine A., Wood, Jordan, Patel, Harsh K., Shah, Janak N., Agarunov, Emil, Sethi, Amrita, Fogel, Evan L., McNulty, Gail, Haseeb, Abdul, Dixon, Rebekah E., Yang, Jeong Yun, Calo, Delia, LaComb, Joseph F., Scheiman, James M., Sauer, Bryan G., Dang, Duyen T., Shah, Eric D., Pohl, Heiko, Tierney, William M., Mitchell, Stephanie, Condon, Ashwinee, Lenhart, Adrienne, Dua, Kulwinder S., Kanagala, Vikram S., Kamal, Ayesha, Singh, Vikesh K., Pinto-Sanchez, Maria Ines, Hutchinson, Joy M., Kwon, Richard S., Korsnes, Sheryl J., Singh, Harminder, Solati, Zahra, Yachimski, Patrick S., Conwell, Darwin L., Mosier, Evan, Azab, Mohamed, Patel, Anish, Buxbaum, James, Wani, Sachin, Chak, Amitabh, Hosmer, Amy E., Keswani, Rajesh N., DiMaio, Christopher J., Muthusamy, Raman, Canto, Marcia I., Gjeorgjievski, V. Mihajlo, Odish, Fadi, Edhi, Ahmed I., Orosey, Molly, Patwardhan, Soumil, Brown, Nicholas G., Cruz, Lilian, Okafor, Uchechi, Reykhart, Olga, Zbib, Natalia H., Damianos, John A., Esteban, James, Saul, Melissa, Anderson, Gulsum, Wood, Kelley, Mathews, Laura, Diakova, Galina, Caisse, Molly, Wakefield, Lauren, Nitchie, Haley, Waljee, Akbar K., Tang, Weijing, Zhang, Yueyang, Zhu, Ji, Durkalski, Valerie

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Nuclear RNA catabolism controls endogenous retroviruses, gene expression asymmetry, and dedifferentiation von Torre, Denis, Fstkchyan, Yesai S, Ho, Jessica Sook Yuin, Cheon, Youngseo, Patel, Roosheel S, Degrace, Emma J, Mzoughi, Slim, Schwarz, Megan, Mohammed, Kevin, Seo, Ji-Seon, Romero-Bueno, Raquel, Demircioglu, Deniz, Hasson, Dan, Tang, Weijing, Mahajani, Sameehan U, Campisi, Laura, Zheng, Simin, Song, Won-Suk, Wang, Ying-Chih, Shah, Hardik, Francoeur, Nancy, Soto, Juan, Salfati, Zelda, Weirauch, Matthew T, Warburton, Peter, Beaumont, Kristin, Smith, Melissa L, Mulder, Lubbertus, Villalta, S Armando, Kessenbrock, Kai, Jang, Cholsoon, Lee, Daeyoup, De Rubeis, Silvia, Cobos, Inma, Tam, Oliver, Hammell, Molly Gale, Seldin, Marcus, Shi, Yongsheng, Basu, Uttiya, Sebastiano, Vittorio, Byun, Minji, Sebra, Robert, Rosenberg, Brad R, Benner, Chris, Guccione, Ernesto, Marazzi, Ivan

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Genome-wide association study and functional validation implicates JADE1 in tauopathy von Farrell, Kurt, Kim, SoongHo, Han, Natalia, Iida, Megan A., Gonzalez, Elias M., Otero-Garcia, Marcos, Walker, Jamie M., Richardson, Timothy E., Renton, Alan E., Andrews, Shea J., Fulton-Howard, Brian, Humphrey, Jack, Vialle, Ricardo A., Bowles, Kathryn R., de Paiva Lopes, Katia, Whitney, Kristen, Dangoor, Diana K., Walsh, Hadley, Marcora, Edoardo, Hefti, Marco M., Casella, Alicia, Sissoko, Cheick T., Kapoor, Manav, Novikova, Gloriia, Udine, Evan, Wong, Garrett, Tang, Weijing, Bhangale, Tushar, Hunkapiller, Julie, Ayalon, Gai, Graham, Robert R., Cherry, Jonathan D., Cortes, Etty P., Borukov, Valeriy Y., McKee, Ann C., Stein, Thor D., Vonsattel, Jean-Paul, Teich, Andy F., Gearing, Marla, Glass, Jonathan, Troncoso, Juan C., Frosch, Matthew P., Hyman, Bradley T., Dickson, Dennis W., Murray, Melissa E., Attems, Johannes, Flanagan, Margaret E., Mao, Qinwen, Mesulam, M.-Marsel, Weintraub, Sandra, Woltjer, Randy L., Pham, Thao, Kofler, Julia, Schneider, Julie A., Yu, Lei, Purohit, Dushyant P., Haroutunian, Vahram, Hof, Patrick R., Gandy, Sam, Sano, Mary, Beach, Thomas G., Poon, Wayne, Kawas, Claudia H., Corrada, María M., Rissman, Robert A., Metcalf, Jeff, Shuldberg, Sara, Salehi, Bahar, Nelson, Peter T., Trojanowski, John Q., Lee, Edward B., Wolk, David A., McMillan, Corey T., Keene, C. Dirk, Latimer, Caitlin S., Montine, Thomas J., Kovacs, Gabor G., Lutz, Mirjam I., Fischer, Peter, Perrin, Richard J., Cairns, Nigel J., Franklin, Erin E., Cohen, Herbert T., Raj, Towfique, Cobos, Inma, Frost, Bess, Goate, Alison, White III, Charles L., Crary, John F.

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Tu1482 – Application of Deep Learning Models to Predict Progression to Cirrhosis Among Veterans with Chronic Hepatitis C von Konerman, Monica A., Tang, Weijing, Ioannou, George N., Beste, Lauren, Su, Grace L., Van, Tony, Tapper, Elliot B., Saini, Sameer D., Nallamothu, Brahmajee, Zhu, Ji, Waljee, Akbar K.

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498 – Deep Learning Models Accurately Predict Development of Hcc in 146,218 Patients with Chronic Hepatitis C von Ioannou, George N., Tang, Weijing, Beste, Lauren, Konerman, Monica A., Su, Grace L., Van, Tony, Tapper, Elliot B., Singal, Amit G., Zhu, Ji, Waljee, Akbar K.

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Semi‐supervised joint learning for longitudinal clinical events classification using neural network models von Tang, Weijing, Ma, Jiaqi, Waljee, Akbar K., Zhu, Ji

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Association Between Preadmission Acid Suppressive Medication Exposure and Severity of Illness in Patients Hospitalized With COVID-19 von Wolf, Bethany J., Scheiman, James M., Taylor, Jason R., Merchant, Ambreen A., Patel, Vaishali A., Willingham, Field F., Koza, Casey L., Yachimski, Patrick S., Nustas, Rosemary, Zakaria, Ali, Piper, Marc S., Chau, Millie, Lara, Luis F., Papachristou, Georgios I., Okafor, Uchechi, Conwell, Darwin L., Volk, Michael L., Mosier, Evan, Hilson, Liam G., Zhou, Selena, Buxbaum, James, Kushnir, Vladimir M., Lenyo, Alexandria M., Sloan, Ian P., Hollander, Thomas, McLeod, Caroline G., Spitzer, Rebecca L., Wakefield, Lauren, Ordiah, Collins O., Rockey, Don C., Alford, Teldon B., Amin, Sunil, Kuftinec, Gabriela N., Deshpande, Amar R., Yadav, Dhiraj, Saul, Melissa, Mays, Melanie, Anderson, Gulsum, Wood, Kelley, Mathews, Laura, Fox, Charlie, Kolb, Jennifer M., Wani, Sachin, Pawa, Rishi, Canakis, Andrew, Jamil, Laith H., Aneese, Andrew M., Imam, Zaid, Edhi, Ahmed I., Orosey, Molly, Tiwari, Abhinav, Patwardhan, Soumil, Furey, Nancy, Chak, Amitabh, Hanley, Katherine A., Wood, Jordan, Keswani, Rajesh N., Patel, Harsh K., Agarunov, Emil, Brown, Nicholas G., Patel, Anish A., McNulty, Gail, Haseeb, Abdul, Trieu, Judy A., Yang, Jeong Yun, DiMaio, Christopher J., Mendelsohn, Robin B., Calo, Delia, Aroniadis, Olga C., LaComb, Joseph F., Cruz, Lilian, Reykhart, Olga, Sauer, Bryan G., Diakova, Galina, Dang, Duyen T., Piraka, Cyrus R., Shah, Eric D., Caisse, Molly, Zbib, Natalia H., Pohl, Heiko, Bronze, Michael S., Condon, Ashwinee, Lenhart, Adrienne, Muthusamy, Raman, Dua, Kulwinder S., Kanagala, Vikram S., Esteban, James, Kamal, Ayesha, Canto, Marcia I., Singh, Vikesh K., Pinto-Sanchez, Maria Ines, Hutchinson, Joy M., Kwon, Richard S., Korsnes, Sheryl J., Waljee, Akbar K., Zhang, Yueyang, Zhu, Ji, Singh, Harminder, Solati, Zahra, Hajidiacos, Nick

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