Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment

  • Adam J. Widman
  • , Minita Shah
  • , Amanda Frydendahl
  • , Daniel Halmos
  • , Cole C. Khamnei
  • , Nadia Øgaard
  • , Srinivas Rajagopalan
  • , Anushri Arora
  • , Aditya Deshpande
  • , William F. Hooper
  • , Jean Quentin
  • , Jake Bass
  • , Mingxuan Zhang
  • , Theophile Langanay
  • , Laura Andersen
  • , Zoe Steinsnyder
  • , Will Liao
  • , Mads Heilskov Rasmussen
  • , Tenna Vesterman Henriksen
  • , Sarah Østrup Jensen
    • Jesper Nors, Christina Therkildsen, Jesus Sotelo, Ryan Brand, Joshua S. Schiffman, Ronak H. Shah, Alexandre Pellan Cheng, Colleen Maher, Lavinia Spain, Kate Krause, Dennie T. Frederick, Wendie den Brok, Caroline Lohrisch, Tamara Shenkier, Christine Simmons, Diego Villa, Andrew J. Mungall, Richard Moore, Elena Zaikova, Viviana Cerda, Esther Kong, Daniel Lai, Murtaza S. Malbari, Melissa Marton, Dina Manaa, Lara Winterkorn, Karen Gelmon, Margaret K. Callahan, Genevieve Boland, Catherine Potenski, Jedd D. Wolchok, Ashish Saxena, Samra Turajlic, Marcin Imielinski, Michael F. Berger, Sam Aparicio, Nasser K. Altorki, Michael A. Postow, Nicolas Robine, Claus Lindbjerg Andersen, Dan A. Landau

Research output: Contribution to journal › Journal Article › peer-review

65 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Ultrasensitive plasma-based monitoring of tumor burden using machine-learning-guided signal enrichment'. Together they form a unique fingerprint.

Keyphrases

Medicine and Dentistry

Biochemistry, Genetics and Molecular Biology