Using AI to improve the molecular classification of brain tumors

被引：0
|
作者：
机构：
来源：
Nature Medicine | 2023年 / 29卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We used deep neural networks trained on optical histology and open-source genomic data to predict the molecular genetics of brain tumors during surgery. Our results represent how AI-based diagnostics can provide a valuable adjunct to wet laboratory methods for molecular testing in patients with cancer.
引用
收藏
页码：793 / 794
页数：1
相关论文
共 50 条
  • [1] Using AI to improve the molecular classification of brain tumors
    Hollon, Todd
    Orringer, Daniel
    NATURE MEDICINE, 2023, 29 (04) : 793 - 794
  • [2] MOLECULAR CLASSIFICATION OF EPENDYMAL BRAIN TUMORS
    Witt, H.
    Sill, M.
    Wani, K.
    Mack, S. M.
    Taylor, M. D.
    Ellison, D.
    Korshunov, A.
    Kool, M.
    Jones, D. T. W.
    Aldape, K.
    Pfister, S. M.
    PEDIATRIC BLOOD & CANCER, 2014, 61 : S114 - S114
  • [3] A Transfer Learning approach for AI-based classification of brain tumors
    Mehrotra, Rajat
    Ansari, M. A.
    Agrawal, Rajeev
    Anand, R. S.
    MACHINE LEARNING WITH APPLICATIONS, 2020, 2
  • [4] Epigenetic profiling for the molecular classification of metastatic brain tumors
    Orozco, Javier I. J.
    Knijnenburg, Theo A.
    Manughian-Peter, Ayla O.
    Salomon, Matthew P.
    Barkhoudarian, Garni
    Jalas, John R.
    Wilmott, James S.
    Hothi, Parvinder
    Wang, Xiaowen
    Takasumi, Yuki
    Buckland, Michael E.
    Thompson, John F.
    Long, Georgina, V
    Cobbs, Charles S.
    Shmulevich, Ilya
    Kelly, Daniel F.
    Scolyer, Richard A.
    Hoon, Dave S. B.
    Marzese, Diego M.
    NATURE COMMUNICATIONS, 2018, 9
  • [5] Epigenetic profiling for the molecular classification of metastatic brain tumors
    Javier I. J. Orozco
    Theo A. Knijnenburg
    Ayla O. Manughian-Peter
    Matthew P. Salomon
    Garni Barkhoudarian
    John R. Jalas
    James S. Wilmott
    Parvinder Hothi
    Xiaowen Wang
    Yuki Takasumi
    Michael E. Buckland
    John F. Thompson
    Georgina V. Long
    Charles S. Cobbs
    Ilya Shmulevich
    Daniel F. Kelly
    Richard A. Scolyer
    Dave S. B. Hoon
    Diego M. Marzese
    Nature Communications, 9
  • [6] Advances in the molecular classification of pediatric brain tumors: a guide to the galaxy
    Cacciotti, Chantel
    Fleming, Adam
    Ramaswamy, Vijay
    JOURNAL OF PATHOLOGY, 2020, 251 (03): : 249 - 261
  • [7] Molecular Classification and Management of Rare Pediatric Embryonal Brain Tumors
    Sin-Chan, Patrick
    Li, Bryan K.
    Ho, Ben
    Fonseca, Adriana
    Huang, Annie
    CURRENT ONCOLOGY REPORTS, 2018, 20 (09)
  • [8] MicroRNA Expression Profiling for Molecular Classification of Pediatric Brain Tumors
    Sredni, Simone Treiger
    Huang, Chiang-Ching
    Bonaldo, Maria de Fatima
    Tomita, Tadanori
    PEDIATRIC BLOOD & CANCER, 2011, 57 (01) : 183 - 184
  • [9] Review of molecular classification and treatment implications of pediatric brain tumors
    Stucklin, Ana S. Guerreiro
    Ramaswamy, Vijay
    Daniels, Craig
    Taylor, Michael D.
    CURRENT OPINION IN PEDIATRICS, 2018, 30 (01) : 3 - 9
  • [10] Molecular Classification and Management of Rare Pediatric Embryonal Brain Tumors
    Patrick Sin-Chan
    Bryan K. Li
    Ben Ho
    Adriana Fonseca
    Annie Huang
    Current Oncology Reports, 2018, 20
12345