Cell-free hemoglobin mediated oxidative stress is associated with acute kidney injury and renal replacement therapy in severe falciparum malaria: an observational study by Plewes, Katherine, Kingston, Hugh W.F., Ghose, Aniruddha, Maude, Richard J., Herdman, M. Trent, Leopold, Stije J., Ishioka, Haruhiko, Hasan, Md. Mahtab Uddin, Haider, Md. Shafiul, Alam, Shamsul, Piera, Kim A., Charunwatthana, Prakaykaew, Silamut, Kamolrat, Yeo, Tsin Wen, Faiz, Md. Abul, Lee, Sue J., Mukaka, Mavuto, Turner, Gareth D. H., Anstey, Nicholas M., Jackson Roberts II, L., White, Nicholas J., Day, Nicholas P. J., Hossain, Md. Amir, Dondorp, Arjen M.

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The IDentif.AI-x pandemic readiness platform: rapid prioritization of optimized COVID-19 combination therapy regimens by Blasiak, Agata, Truong, Anh T. L., Remus, Alexandria, Hooi, Lissa, Seah, Shirley Gek Kheng, Wang, Peter, Chye, De Hoe, Lim, Angeline Pei Chiew, Ng, Kim Tien, Teo, Swee Teng, Tan, Yee-Joo, Allen, David Michael, Chai, Louis Yi Ann, Chng, Wee Joo, Lin, Raymond T. P., Lye, David C., Wong, John Eu-Li, Tan, Gladys Gek-Yen, Chan, Conrad En Zuo, Chow, Edward Kai-Hua, Ho, Dean

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Scope, characteristics, behavior change techniques, and quality of conversational agents for mental health and well-being: systematic assessment of apps by Lin, Xiaowen, Martinengo, Laura, Jabir, Ahmad Ishqi, Ho, Andy Hau Yan, Car, Josip, Atun, Rifat, Tudor Car, Lorainne

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Employment of a high throughput functional assay to define the critical factors that influence vaccine induced cross-variant neutralizing antibodies for SARS-CoV-2 by Gu, Yue, Shunmuganathan, Bhuvaneshwari, Qian, Xinlei, Gupta, Rashi, Tan, Rebecca S. W., Kozma, Mary, Purushotorman, Kiren, Murali, Tanusya M., Tan, Nikki Y. J., Preiser, Peter Rainer, Lescar, Julien, Nasir, Haziq, Somani, Jyoti, Tambyah, Paul A., Smith, Kenneth G. C., Renia, Laurent, Ng, Lisa F. P., Lye, David C., Young, Barnaby E., MacAry, Paul A.

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Ultrastrong exciton-plasmon couplings in WS2 multilayers synthesized with a random multi-singular metasurface at room temperature by Wu, Tingting, Wang, Chongwu, Hu, Guangwei, Wang, Zhixun, Zhao, Jiaxin, Wang, Zhe, Chaykun, Ksenia, Liu, Lin, Chen, Mengxiao, Li, Dong, Zhu, Song, Xiong, Qihua, Shen, Zexiang, Gao, Huajian, Garcia-Vidal, Francisco J., Wei, Lei, Wang, Qi Jie, Luo, Yu

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Phase-controllable growth of ultrathin 2D magnetic FeTe crystals by Kang, Lixing, Ye, Chen, Zhao, Xiaoxu, Zhou, Xieyu, Hu, Junxiong, Li, Qiao, Liu, Dan, Das, Chandreyee Manas, Yang, Jiefu, Hu, Dianyi, Chen, Jieqiong, Cao, Xun, Zhang, Yong, Xu, Manzhang, Di, Jun, Tian, Dan, Song, Pin, Kutty, Govindan, Zeng, Qingsheng, Fu, Qundong, Deng, Ya, Zhou, Jiadong, Ariando, Ariando, Miao, Feng, Hong, Guo, Huang, Yizhong, Pennycook, Stephen J., Yong, Ken-Tye, Ji, Wei, Wang, Renshaw Xiao, Liu, Zheng

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Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes by McAllan, Liam, Baranasic, Damir, Villicaña, Sergio, Brown, Scarlett, Zhang, Weihua, Lehne, Benjamin, Adamo, Marco, Jenkinson, Andrew, Elkalaawy, Mohamed, Mohammadi, Borzoueh, Hashemi, Majid, Fernandes, Nadia, Lambie, Nathalie, Williams, Richard, Christiansen, Colette, Yang, Youwen, Zudina, Liudmila, Lagou, Vasiliki, Tan, Sili, Castillo-Fernandez, Juan, King, James W. D., Soong, Richie, Elliott, Paul, Scott, James, Prokopenko, Inga, Cebola, Inês, Loh, Marie, Lenhard, Boris, Batterham, Rachel L., Bell, Jordana T., Chambers, John Campbell, Kooner, Jaspal S., Scott, William R.

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An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study by Slieker, Roderick C., Münch, Magnus, Donnelly, Louise A., Bouland, Gerard A., Dragan, Iulian, Kuznetsov, Dmitry, Elders, Petra J. M., Rutter, Guy A., Ibberson, Mark, Pearson, Ewan R., Hart, Leen M. 't, van de Wiel, Mark A., Beulens, Joline W. J.

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Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk by Zhu, Yinghan, Maikusa, Norihide, Radua, Joaquim, Sämann, Philipp G., Fusar-Poli, Paolo, Agartz, Ingrid, Andreassen, Ole A., Bachman, Peter, Baeza, Inmaculada, Chen, Xiaogang, Choi, Sunah, Corcoran, Cheryl M., Ebdrup, Bjørn H., Fortea, Adriana, Garani, Ranjini Rg, Glenthøj, Birte Yding, Glenthøj, Louise Birkedal, Haas, Shalaila S., Hamilton, Holly K., Hayes, Rebecca A., He, Ying, Heekeren, Karsten, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kristensen, Tina D., Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Loewy, Rachel L., Mathalon, Daniel H., McGuire, Philip, Mizrahi, Romina, Mizuno, Masafumi, Møller, Paul, Nemoto, Takahiro, Nordholm, Dorte, Omelchenko, Maria A., Raghava, Jayachandra M., Røssberg, Jan I., Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Smigielski, Lukasz, Sugranyes, Gisela, Takahashi, Tsutomu, Tamnes, Christian K., Tang, Jinsong, Theodoridou, Anastasia, Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor G., van Amelsvoort, Therese A. M. J., Waltz, James A., Westlye, Lars T., Zhou, Juan H., Thompson, Paul M., Hernaus, Dennis, Jalbrzikowski, Maria, Koike, Shinsuke

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The iHealth-T2D study, prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes: study protocol for a randomised controlled trial by Kasturiratne, Anuradhani, Khawaja, Khadija I., Ahmad, Sajjad, Siddiqui, Samreen, Shahzad, Khurram, Athauda, Lathika K., Jayawardena, Ranil, Mahmood, Sara, Muilwijk, Mirthe, Batool, Tayyaba, Burney, Saira, Glover, Matthew, Palaniswamy, Saranya, Bamunuarachchi, Vodathi, Panda, Manju, Madawanarachchi, Suren, Rai, Baldeesh, Sattar, Iqra, Silva, Wnurinham, Waghdhare, Swati, Jarvelin, Marjo-Riitta, Rannan-Eliya, Ravindra P., Gage, Heather M., van Valkengoed, Irene G. M., Valabhji, Jonathan, Frost, Gary S., Loh, Marie, Wickremasinghe, Ananda R., Kooner, Jaspal S., Katulanda, Prasad, Jha, Sujeet, Chambers, John C.

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High p16 expression and heterozygous RB1 loss are biomarkers for CDK4/6 inhibitor resistance in ER+ breast cancer by Palafox, Marta, Monserrat, Laia, Bellet, Meritxell, Villacampa, Guillermo, Gonzalez-Perez, Abel, Oliveira, Mafalda, Brasó-Maristany, Fara, Ibrahimi, Nusaibah, Kannan, Srinivasaraghavan, Mina, Leonardo, Herrera-Abreu, Maria Teresa, Òdena, Andreu, Sánchez-Guixé, Mònica, Capelán, Marta, Azaro, Analía, Bruna, Alejandra, Rodríguez, Olga, Guzmán, Marta, Grueso, Judit, Viaplana, Cristina, Hernández, Javier, Su, Faye, Lin, Kui, Clarke, Robert B., Caldas, Carlos, Arribas, Joaquín, Michiels, Stefan, García-Sanz, Alicia, Turner, Nicholas C., Prat, Aleix, Nuciforo, Paolo, Dienstmann, Rodrigo, Verma, Chandra Shekhar, Lopez-Bigas, Nuria, Scaltriti, Maurizio, Arnedos, Monica, Saura, Cristina, Serra, Violeta

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Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

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