Widman, Adam J., Shah, Minita, Frydendahl, Amanda, Halmos, Daniel, Khamnei, Cole C., Øgaard, Nadia, Rajagopalan, Srinivas, Arora, Anushri, Deshpande, Aditya, Hooper, William F., Quentin, Jean, Bass, Jake, Zhang, Mingxuan, Langanay, Theophile, Andersen, Laura, Steinsnyder, Zoe, Liao, Will, Rasmussen, Mads Heilskov, Henriksen, Tenna Vesterman, Jensen, Sarah Østrup, Nors, Jesper, Therkildsen, Christina, Sotelo, Jesus, Brand, Ryan, Schiffman, Joshua S., Shah, Ronak H., Cheng, Alexandre Pellan, Maher, Colleen, Spain, Lavinia, Krause, Kate, Frederick, Dennie T., den Brok, Wendie, Lohrisch, Caroline, Shenkier, Tamara, Simmons, Christine, Villa, Diego, Mungall, Andrew J., Moore, Richard, Zaikova, Elena, Cerda, Viviana, Kong, Esther, Lai, Daniel, Malbari, Murtaza S., Marton, Melissa, Manaa, Dina, Winterkorn, Lara, Gelmon, Karen, Callahan, Margaret K., Boland, Genevieve, Potenski, Catherine, Wolchok, Jedd D., Saxena, Ashish, Turajlic, Samra, Imielinski, Marcin, Berger, Michael F., Aparicio, Sam, Altorki, Nasser K., Postow, Michael A., Robine, Nicolas, Andersen, Claus Lindbjerg and Landau, Dan A..
2024.
« Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment ».
Nature Medicine, vol. 30, nº 6.
pp. 1655-1666.
Compte des citations dans Scopus : 45.
| Item Type: | Peer reviewed article published in a journal |
|---|---|
| Professor: | Professor Pellan Cheng, Alexandre |
| Affiliation: | Autres |
| Date Deposited: | 13 Feb 2025 19:49 |
| Last Modified: | 13 Feb 2025 19:49 |
| URI: | https://espace2.etsmtl.ca/id/eprint/30566 |
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