Výsledky vyhledávání - "Christoph Eberle"

Akademický článek

Data-driven science and machine learning methods in laser–plasma physics

Autor: Andreas Döpp, Christoph Eberle, Sunny Howard, Faran Irshad, Jinpu Lin, Matthew Streeter

Publikováno v: High Power Laser Science and Engineering, Vol 11 (2023)

Laser-plasma physics has developed rapidly over the past few decades as lasers have become both more powerful and more widely available. Early experimental and numerical research in this field was dominated by single-shot experiments with limited par

Externí odkaz: https://doaj.org/article/7521389e2e304b6db431ceaa95dcc354

Zobrazit plný text záznamu

Abstract 39: Assessment of a novel method using adult healthy donor mobilized human CD34+hematopoietic stem cells in NCG mice for use in tumor modeling

Autor: Jenny Rowe, Steven Bronson, Christoph Eberle, Ann Fiore, Bob Mihalek, Stephen Festin

Publikováno v: Cancer Research. 83:39-39

Checkpoint inhibitors including anti-PD-1/PD-L1 are a type of immunotherapy that have become the standard of care for cancer patients. Continual focus is placed on developing new treatments for cancer, including breast, lung and colon cancer, which a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6feed696bba5fb23bc0d3fab7d6b5cfa
https://doi.org/10.1158/1538-7445.am2023-39

Zobrazit plný text záznamu

Abstract 51: The SRG immunodeficient rat demonstrates utility across multiple tumor types of different organ origins

Autor: Koh Meng Aw Yong, Christoph Eberle, Christopher Dowdy, Grace Walton, Diane Begemann, Christopher Brenzel, Fallon Noto, Stephen Festin

Publikováno v: Cancer Research. 83:51-51

Introduction The number of approved cancer drugs as well as those in development have doubled over the last decade. With this increase comes a need for validated immunodeficient animal models that allow engraftment of tumor xenografts, an important r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::938ec4cfe6fee2272eaec246654e033e
https://doi.org/10.1158/1538-7445.am2023-51

Zobrazit plný text záznamu

Data-driven Science and Machine Learning Methods in Laser-Plasma Physics

Autor: Andreas Döpp, Christoph Eberle, Sunny Howard, Faran Irshad, Jinpu Lin, Matthew Streeter

Laser-plasma physics has developed rapidly over the past few decades as high-power lasers have become both increasingly powerful and more widely available. Early experimental and numerical research in this field was restricted to single-shot experime

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98237531a4035b1dabc980ed129b72db

Zobrazit plný text záznamu

Abstract 1885: Semi and fully automated immunostaining sample preparation platforms improve live leukocyte recovery, reproducibility, and cytometry data quality

Autor: Melvin Lye, Christoph Eberle, Ann Wang, Geoffrey K. Feld, Namyong Kim

Publikováno v: Cancer Research. 82:1885-1885

Limited innovation in automated cell and organelle sample preparation methodology limits the effectiveness of modern analytical methods, such as single-cell ‘omics, flow and mass cytometry. These techniques traditionally rely on manual centrifugati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ecc4b6ecb041c2fd4f08a85a143f6128
https://doi.org/10.1158/1538-7445.am2022-1885

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání