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<< first | < prev page: of 46 records per page: next > | last >>
pages: 1 2 3 4 5 ... 43 44 45 46 presentations: 1 to 25 of 1142
Controversies in Replication ctDNA Measurements
Key questions for ctDNA analysis
Paul T Spellman
Oregon Health Science Univ., Portland, OR, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Controversies in Replication ctDNA Measurements
Title to be announced
Jamie Platt
Inivata, Research Triangle Park, NC, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Controversies in Replication ctDNA Measurements
The dual roles of analytical and clinical data in ctDNA test validation
Justin Odegaard
Guardant Health Inc., Redwood City, CA, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Controversies in Replication ctDNA Measurements
Analytical validation of liquid biopsy assays: current challenges and opportunities
Mark Sausen
Personal Genome Diagnostics, Baltimore, MD, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Modulating the Gut Microbiome to Treat Dysbiosis and Cancer
  •  
  • Permission not
    granted for presentation
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Cancer therapeutics: A view from the microbiota
Christian Jobin
Univ. of Florida, Gainesville, FL, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Modulating the Gut Microbiome to Treat Dysbiosis and Cancer
Dynamic monitoring of the dysbiotic microbiome
Jonathan Braun
Mt. Sinai Medical Center, Los Angeles, CA, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Modulating the Gut Microbiome to Treat Dysbiosis and Cancer
Identification and targeting microbial vulnerabilities
Ami S Bhatt
Stanford Medical School, Stanford, CA, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Modulating the Gut Microbiome to Treat Dysbiosis and Cancer
Encapsulated fecal transplant: It's not just for Clostridium difficile any more!
Elizabeth L Hohmann
Massachusetts General Hospital, Boston, MA, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Molecular Pathology for Cancer Researchers: Present and Future
Introduction
Massimo Loda
Cornell Univ., Ithaca, NY, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Molecular Pathology for Cancer Researchers: Present and Future
Pathology for cancer researchers: An overview
Jiaoti Huang
Duke Univ. School of Medicine, Durham, NC, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Molecular Pathology for Cancer Researchers: Present and Future
Antibody validation of immunohistochemistry (IHC) and in situ hybridization assays in tissue: Pitfalls, tips, and techniques
Angelo M De Marzo
John Hopkins Univ. School of Medicine, Baltimore, MD, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Molecular Pathology for Cancer Researchers: Present and Future
Molecular pathology and diagnostics
Andrea L Richardson
Johns Hopkins Univ. School of Medicine, Washington, DC, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Molecular Pathology for Cancer Researchers: Present and Future
Computational pathology, imaging, and artificial intelligence
Andrew H Beck
PathAI, Cambridge, MA, United States
from AACR Annual Meeting 2019 on March 29, 2019 3:00 PM-5:00 PM
Biomarker Studies: Study Design and Statistical Considerations
From discovery to clinics: Design considerations in biomarker studies
Yingye Zheng
Fred Hutchinson Cancer Research Ctr., Seattle, WA, United States
from AACR Annual Meeting 2019 on March 29, 2019 5:15 PM-7:15 PM
Biomarker Studies: Study Design and Statistical Considerations
Needle in a haystack: Biomarker discovery in high-dimensional data
Shilin Zhao
Vanderbilt University Medical Center, Nashville, TN, United States
from AACR Annual Meeting 2019 on March 29, 2019 5:15 PM-7:15 PM
Biomarker Studies: Study Design and Statistical Considerations
Precision oncology: Integrating biomarkers in phase III clinical trial designs
Antje Hoering
Cancer Research and Biostatistics, Seattle, WA, United States
from AACR Annual Meeting 2019 on March 29, 2019 5:15 PM-7:15 PM
Biomarker Studies: Study Design and Statistical Considerations
Population risk stratification: Integrating biomarkers in cancer risk assessment
Ruth Pfeiffer
NCI-DCEG, Bethesda, MD, United States
from AACR Annual Meeting 2019 on March 29, 2019 5:15 PM-7:15 PM
Designing Biomarker Studies to Achieve Desired Clinical Applications
Intended clinical application drives your study design: Principles and operational considerations
Ziding Feng
Fred Hutchinson Cancer Research Ctr., Seattle, WA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Designing Biomarker Studies to Achieve Desired Clinical Applications
Evaluating biomarkers for prognostic enrichment of clinical trials
Kathleen Kerr
University of Washington, Seattle, WA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Designing Biomarker Studies to Achieve Desired Clinical Applications
Deriving early detection biomarker performance goals by setting a minimum benefit-to-harm ratio
Steven J Skates
Massachusetts General Hospital, Boston, MA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Integrating Tools for Machine Learning in Cancer Image Analysis
Machine learning in imaging: Seeing the invisible
Christos Davatzikos
Center for Biomedical Image Computing and Analytics, Philadelphia, PA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Integrating Tools for Machine Learning in Cancer Image Analysis
Machine learning in imaging: Seeing the invisible
Saima Rathore
University of Pennsylvania, Philadelphia, PA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Integrating Tools for Machine Learning in Cancer Image Analysis
Deep learning: Promises and challenges
Jayashree Kalpathy-Cramer
Harvard Medical School/MGH, Charlestown, MA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Integrating Tools for Machine Learning in Cancer Image Analysis
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  • Permission not
    granted for presentation
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Deep learning for reading mammograms: state-of-the-art and clinical implementation
Regina Barzilay
MIT, Cambridge, MA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Integrating Tools for Machine Learning in Cancer Image Analysis
AI tools for computational pathology
Lee Cooper
Emory University, Atlanta, GA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
<< first | < prev page: of 46 records per page: next > | last >>
pages: 1 2 3 4 5 ... 43 44 45 46 presentations: 1 to 25 of 1142