Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Dan Klass"'
Autor:
M. Heibeck, Boe Sandahl Sorensen, Anne Tranberg Madsen, E. Kwok, Aarthi Balasubramanyam, Stephanie J. Yaung, Dan Klass, Liu Xi, John F. Palma, Peter Meldgaard, Michelle Simone Clement, K. Probst, Alex Lovejoy, Nalin Tikoo, Patrik Vitazka, E. Meldgaard, A. Rehfeldt
Publikováno v:
Annals of Oncology. 29:viii491
Autor:
E. Meldgaard, Alex Lovejoy, A. Rehfeldt, E. Kwok, M. Heibeck, Anne Tranberg Madsen, Aarthi Balasubramanyam, Patrik Vitazka, Michelle Simone Clement, Nalin Tikoo, John F. Palma, Dan Klass, Stephanie J. Yaung, Liu Xi, Boe Sandahl Sorensen, Peter Meldgaard, K. Probst
Publikováno v:
Annals of Oncology. 29:viii515
Autor:
Seng Lor Saelee, Katrina Mayol, Abraham Munoz, Paul W. Shi, Alex Lovejoy, Amrita Pati, Vera Rapoport, Janet Jin, Dan Klass
Publikováno v:
Cancer Research. 78:4574-4574
A key technical challenge in oncology is the detection of minimal residual disease (MRD, the presence of residual tumor in a subject post-treatment). Recent studies have shown poor prognostic outcomes for research subjects with ultra-low residual tum
Autor:
Felix J.F. Herth, Xiaoju Max Ma, John F. Palma, Thomas Muley, Marc A. Schneider, Michael Meister, Liu Xi, Nalin Tikoo, Aarthi Balasubramanyam, Dan Klass, Yuqiu Jiang, Amrita Pati, Hans-Peter Adams, Felix Lasitschka, Birgit Wehnl, Christine Ju, Alexander F. Lovejoy, Owen Solberg, Stephanie J. Yaung, Michael Thomas
Publikováno v:
Journal of Clinical Oncology. 36:12077-12077
12077Background: Longitudinal ctDNA monitoring using variants identified in tissue biopsies is an emerging method for disease management. However, tissue biopsy is often inaccessible for many late ...
Early assessment of treatment effect in advanced lung adenocarcinoma via longitudinal ctDNA analysis
Autor:
Alexander F. Lovejoy, Christine Ju, Michael Meister, Hans-Peter Adams, Nalin Tikoo, Aarthi Balasubramanyam, Marc A. Schneider, Liu Xi, Yuqiu Jiang, Xiaoju Max Ma, Felix Lasitschka, Owen Solberg, Michael Thomas, Birgit Wehnl, Stephanie J. Yaung, Dan Klass, John F. Palma, Amrita Pati, Felix J.F. Herth, Thomas Muley
Publikováno v:
Journal of Clinical Oncology. 36:12088-12088
12088Background: Despite routine use of chemotherapy in advanced non-small-cell lung cancer (NSCLC) patients, the knowledge of optimal prognostic methods is still limited to imaging-based methods. ...
Autor:
Maria Lange, Sandra Siemann, Fergal Casey, Stephanie J. Yaung, Nabil Azhar, John F. Palma, Aruna Arcot, Sophie Beckert, Melissa Loyzer, Alex Lovejoy, Shelly R. Gunn, Sebastian Froehler, William Chiu, Dan Klass
Publikováno v:
Cancer Research. 77:2744-2744
The combination of liquid biopsies and ultra-sensitive next-generation sequencing (NGS) holds tremendous promise in oncology for the detection and surveillance of somatic mutations that correlate with diagnosis, prognosis, response prediction, resist
Autor:
Michael W. Geoghegan, Dan Klass
Publikováno v:
Podcast Solutions ISBN: 9781590599051
Podcast Solutions
Podcast Solutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d463e70b0dbdfcf53c6a3b7fbe25f153
https://doi.org/10.1007/978-1-4302-0473-2_3
https://doi.org/10.1007/978-1-4302-0473-2_3
Autor:
Dan Klass, Michael W. Geoghegan
Publikováno v:
Podcast Solutions ISBN: 9781590599051
Podcast Solutions
Podcast Solutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f650882d4ff1c02ea2f77e2b028f0112
https://doi.org/10.1007/978-1-4302-0473-2_12
https://doi.org/10.1007/978-1-4302-0473-2_12
Autor:
Michael W. Geoghegan, Dan Klass
Publikováno v:
Podcast Solutions ISBN: 9781590599051
Podcast Solutions
Podcast Solutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81f3db44b8202554337f29f4a50462d0
https://doi.org/10.1007/978-1-4302-0473-2_4
https://doi.org/10.1007/978-1-4302-0473-2_4
Autor:
Dan Klass, Michael W. Geoghegan
Publikováno v:
Podcast Solutions ISBN: 9781590599051
Podcast Solutions
Podcast Solutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f446220ee1d9261b47813977dc379a7
https://doi.org/10.1007/978-1-4302-0473-2_6
https://doi.org/10.1007/978-1-4302-0473-2_6