Ketamine inhibits tumor necrosis factor secretion by RAW264.7 murine macrophages stimulated with antibiotic-exposed strains of community-associated, methicillin-resistant Staphyloc... von Spentzas, Thomas, Shapley, Rebekah K H, Aguirre, Carlos Acuna, Meals, Elizabeth, Lazar, Lauren, Rayburn, Mark S, Walker, Brett S, English, B Keith

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Trekking to the Top-Learning to Listen and Talk: Changes in Attitude and Knowledge After a Family Camp Intervention von Nicholson, Nannette, Shapley, Kathy, Martin, Patti, Talkington, Rebekah Ann, Caraway, Teresa H.

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ANT MAZES AND ASTRONOMY: HARLOW SHAPLEY’S ENTOMOLOGICAL EXPERIMENTS AT MOUNT WILSON OBSERVATORY AND PASADENA, CALIFORNIA von Simpson, Emily

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Realizing Conflict, Negotiation, and Cooperation Concepts in the Context of International Water Courses von Dinar, Ariel, McKinney, Daene

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Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study von Butzin-Dozier, Zachary, Ji, Yunwen, Li, Haodong, Coyle, Jeremy, Shi, Junming, Phillips, Rachael V, Mertens, Andrew N, Pirracchio, Romain, van der Laan, Mark J, Patel, Rena C, Colford, John M, Hubbard, Alan E

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Dopamine differentially affects retinal circuits to shape the retinal code von Warwick, Rebekah A., Heukamp, Alina S., Riccitelli, Serena, Rivlin‐Etzion, Michal

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Bats of Jaú National Park, central Amazônia, Brazil von Barnett, Adrian A., Sampaio, Erica M., Kalko, Elisabeth K. V., Shapley, Rebecca L., Fischer, Erich, Camargo, George, Rodríguez-Herrera, Bernal

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Genomic–transcriptomic evolution in lung cancer and metastasis von Martínez-Ruiz, Carlos, Black, James R. M., Puttick, Clare, Hill, Mark S., Demeulemeester, Jonas, Larose Cadieux, Elizabeth, Thol, Kerstin, Jones, Thomas P., Veeriah, Selvaraju, Naceur-Lombardelli, Cristina, Toncheva, Antonia, Prymas, Paulina, Rowan, Andrew, Ward, Sophia, Cubitt, Laura, Athanasopoulou, Foteini, Pich, Oriol, Karasaki, Takahiro, Moore, David A., Salgado, Roberto, Colliver, Emma, Castignani, Carla, Dietzen, Michelle, Huebner, Ariana, Al Bakir, Maise, Tanić, Miljana, Watkins, Thomas B. K., Lim, Emilia L., Al-Rashed, Ali M., Lang, Danny, Clements, James, Cook, Daniel E., Rosenthal, Rachel, Wilson, Gareth A., Frankell, Alexander M., de Carné Trécesson, Sophie, East, Philip, Kanu, Nnennaya, Litchfield, Kevin, Birkbak, Nicolai J., Hackshaw, Allan, Beck, Stephan, Van Loo, Peter, Jamal-Hanjani, Mariam, Swanton, Charles, McGranahan, Nicholas

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A Machine Learning Model Based on Health Records for Predicting Recurrence After Microwave Ablation of Hepatocellular Carcinoma von An, Chao, Yang, Hongcai, Yu, Xiaoling, Han, Zhi-Yu, Cheng, Zhigang, Liu, Fangyi, Dou, Jianping, Li, Bing, Li, Yansheng, Li, Yichao, Yu, Jie, Liang, Ping

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Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia von Islam, Md. Merajul, Alam, Md. Jahangir, Maniruzzaman, Md, Ahmed, N. A. M. Faisal, Ali, Md Sujan, Rahman, Md. Jahanur, Roy, Dulal Chandra

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Rapamycin augments the NMDA-Mediated TNF suppression of MRSA-stimulated RAW264.7 murine nacrophages von Spentzas, Thomas, Shappley, Rebekah K.H, Savorgnan, Fabio, Meals, Elizabeth, English, B. Keith

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Using machine learning to identify risk factors for pancreatic cancer: a retrospective cohort study of real-world data von Su, Na, Tang, Rui, Zhang, Yice, Ni, Jiaqi, Huang, Yimei, Liu, Chunqi, Xiao, Yuzhou, Zhu, Baoting, Zhao, Yinglan

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Explainable Machine Learning Predictions for the Benefit From Chemotherapy in Advanced Non‐Small Cell Lung Cancer Without Available Targeted Mutations von Shuang, Zhao, Xingyu, Xiong, Yue, Cheng, Mingjing, Yu

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Iron Deficiency: Global Trends and Projections from 1990 to 2050 von Wang, Li, Liang, Dan, Huangfu, Hengqian, Shi, Xinfu, Liu, Shuang, Zhong, Panpan, Luo, Zhen, Ke, Changwen, Lai, Yingsi

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Two-Sided Matching with Endogenous Preferences von Antler, Yair

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Development and Validation of Machine Learning Algorithms for Prediction of Colorectal Polyps Based on Electronic Health Records von Ba, Qinwen, Yuan, Xu, Wang, Yun, Shen, Na, Xie, Huaping, Lu, Yanjun

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Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Ri... von Wolk, Donna M, Lanyado, Alon, Tice, Ann Marie, Shermohammed, Maheen, Kinar, Yaron, Goren, Amir, Chabris, Christopher F, Meyer, Michelle N, Shoshan, Avi, Abedi, Vida

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Explainable Activity Recognition for Smart Home Systems von Das, Devleena, Nishimura, Yasutaka, Vivek, Rajan P., Takeda, Naoto, Fish, Sean T., Plötz, Thomas, Chernova, Sonia

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An AI-powered patient triage platform for future viral outbreaks using COVID-19 as a disease model von Charkoftaki, Georgia, Aalizadeh, Reza, Santos-Neto, Alvaro, Tan, Wan Ying, Davidson, Emily A, Nikolopoulou, Varvara, Wang, Yewei, Thompson, Brian, Furnary, Tristan, Chen, Ying, Wunder, Elsio A, Coppi, Andreas, Schulz, Wade, Iwasaki, Akiko, Pierce, Richard W, Cruz, Charles S Dela, Desir, Gary V, Kaminski, Naftali, Farhadian, Shelli, Veselkov, Kirill, Datta, Rupak, Campbell, Melissa, Thomaidis, Nikolaos S, Ko, Albert I, Thompson, David C, Vasiliou, Vasilis

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Quantifying Liveability Using Survey Analysis and Machine Learning Model von Sujatha, Vijayaraghavan, Lavanya, Ganesan, Prakash, Ramaiah

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