1. Automated real-world data integration improves cancer outcome prediction
- Author
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Jee, Justin, Fong, Christopher, Pichotta, Karl, Tran, Thinh Ngoc, Luthra, Anisha, Waters, Michele, Fu, Chenlian, Altoe, Mirella, Liu, Si-Yang, Maron, Steven B., Ahmed, Mehnaj, Kim, Susie, Pirun, Mono, Chatila, Walid K., de Bruijn, Ino, Pasha, Arfath, Kundra, Ritika, Gross, Benjamin, Mastrogiacomo, Brooke, Aprati, Tyler J., Liu, David, Gao, JianJiong, Capelletti, Marzia, Pekala, Kelly, Loudon, Lisa, Perry, Maria, Bandlamudi, Chaitanya, Donoghue, Mark, Satravada, Baby Anusha, Martin, Axel, Shen, Ronglai, Chen, Yuan, Brannon, A. Rose, Chang, Jason, Braunstein, Lior, Li, Anyi, Safonov, Anton, Stonestrom, Aaron, Sanchez-Vela, Pablo, Wilhelm, Clare, Robson, Mark, Scher, Howard, Ladanyi, Marc, Reis-Filho, Jorge S., Solit, David B., Jones, David R., Gomez, Daniel, Yu, Helena, Chakravarty, Debyani, Yaeger, Rona, Abida, Wassim, Park, Wungki, O’Reilly, Eileen M., Garcia-Aguilar, Julio, Socci, Nicholas, Sanchez-Vega, Francisco, Carrot-Zhang, Jian, Stetson, Peter D., Levine, Ross, Rudin, Charles M., Berger, Michael F., Shah, Sohrab P., Schrag, Deborah, Razavi, Pedram, Kehl, Kenneth L., Li, Bob T., Riely, Gregory J., and Schultz, Nikolaus
- Published
- 2024
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