| 100441 | -- | 0 | Thai-Hoang Pham, Yue Qiu, Jiahui Liu, Steven Zimmer, Eric E. O'Neill, Lei Xie 0006, Ping Zhang 0016. Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing |
| 100445 | -- | 0 | Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun. HINT: Hierarchical interaction network for clinical-trial-outcome predictions |
| 100451 | -- | 0 | Alex Rogozhnikov, Pavan Ramkumar, Rishi Bedi, Saul Kato, G. Sean Escola. Hierarchical confounder discovery in the experiment-machine learning cycle |
| 100452 | -- | 0 | Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu 0003. Shapley variable importance cloud for interpretable machine learning |
| 100453 | -- | 0 | Takoua Khorchani, Yojana Gadiya, Gesa Witt, Delia Lanzillotta, Carsten Claussen, Andrea Zaliani. SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data |
| 100455 | -- | 0 | John Zerilli, Umang Bhatt, Adrian Weller. How transparency modulates trust in artificial intelligence |
| 100462 | -- | 0 | Arthur Gwagwa, Emre Kazim, Airlie Hilliard. The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspective |
| 100464 | -- | 0 | Liuyin Chen, Haoyang Qi, Di Lu, Jianxue Zhai, Kaican Cai, Long Wang 0015, Guoyuan Liang, Zijun Zhang. Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images |
| 100467 | -- | 0 | Jakob Ohme, Theo B. Araujo. Digital data donations: A quest for best practices |
| 100469 | -- | 0 | Matthias Braun 0006, Jenny Krutzinna. Digital twins and the ethics of health decision-making concerning children |
| 100470 | -- | 0 | Takaaki Masuda, Koshi Mimori. Artificial intelligence-assisted drug repurposing via "chemical-induced gene expression ranking" |
| 100482 | -- | 0 | Caspar J. van Lissa, Wolfgang Stroebe, Michelle R. vanDellen, N. Pontus Leander, Maximilian Agostini, Tim Draws, Andrii Grygoryshyn, Ben Gützgow, Jannis Kreienkamp, Clara S. Vetter, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjolica Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B. I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanovic, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane Gracieli Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding-Yu Jiang, Veljko Jovanovic, Zeljka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanksi, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Edward P. Lemay, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton P. Martinez, Kira O. McCabe, Jasmina Mehulic, Mirra Noor Milla, Idris Mohammed, Erica Molinario, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyúl, Paul A. O'Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas H. Rees, Anne Margit Reitsema, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta M. Sasin, Birga M. Schumpe, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Kees van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai-lan Yeung, Somayeh Zand, Iris Lav Zezelj, Bang Zheng, Andreas Zick, Claudia Zuniga, Jocelyn J. Bélanger. Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic |
| 100486 | -- | 0 | Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell. Gender bias, social bias, and representation in Bollywood and Hollywood |
| 100488 | -- | 0 | Amalie Trewartha, Nicholas Walker, Haoyan Huo, Sanghoon Lee, Kevin Cruse, John Dagdelen, Alexander Dunn, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain. Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science |
| 100490 | -- | 0 | Pavan Ramkumar, Saul Kato, G. Sean Escola. Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar |