fenoxycarb has been researched along with Neuroblastoma in 4 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 0 (0.00) | 29.6817 |
2010's | 3 (75.00) | 24.3611 |
2020's | 1 (25.00) | 2.80 |
Authors | Studies |
---|---|
Alonso-Ferrero, M; Anderson, J; Barisa, M; Chesler, L; Chester, K; Donovan, L; Fisher, J; Gavriil, A; Gileadi, T; Halliwell, E; Leboreiro-Babe, C; Muller, H; Pataillot-Meakin, T; Piapi, A; Tucker, L; Vitali, A; Yeung, J | 1 |
Kasemeier-Kulesa, JC; Kulesa, PM; McKinney, MC; Morrison, JA; Pushel, I; Schnell, S; Spengler, JA; Wolfe, LA; Woolley, T | 1 |
Blengio, F; Cangelosi, D; Conte, M; Eggert, A; Eva, A; Gambini, C; Garaventa, A; Muselli, M; Varesio, L; Versteeg, R | 1 |
Becherini, P; Blengio, F; Cangelosi, D; Conte, M; Muselli, M; Parodi, S; Varesio, L; Versteeg, R | 1 |
4 other study(ies) available for fenoxycarb and Neuroblastoma
Article | Year |
---|---|
Targeting of low ALK antigen density neuroblastoma using AND logic-gate engineered CAR-T cells.
Topics: Antibodies; Cell Line, Tumor; Gangliosides; Humans; Immunotherapy, Adoptive; Logic; Neuroblastoma; Receptors, Antigen, T-Cell; T-Lymphocytes; Xenograft Model Antitumor Assays | 2023 |
Predicting neuroblastoma using developmental signals and a logic-based model.
Topics: Cell Line, Tumor; Humans; Logic; Models, Biological; Neuroblastoma | 2018 |
Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients.
Topics: Algorithms; Artificial Intelligence; Child; Humans; Logic; Middle Aged; Neoplasm Staging; Neuroblastoma; Prognosis; Proto-Oncogene Proteins c-myc; Risk Factors | 2013 |
Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients.
Topics: Algorithms; Artificial Intelligence; Computational Biology; Gene Expression Profiling; Humans; Infant; Logic; Neuroblastoma; Prognosis; Software; Support Vector Machine | 2014 |