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<< first | < prev page: of 9 records per page: next > | last >>
pages: 1 2 3 4 5 ... 6 7 8 9 presentations: 1 to 25 of 215
Characterizing Cancer Disparities Nationally and Internationally Using Publicly Available Data: Recent Advances
Introduction
Folakemi T Odedina
Univ. of Florida Health Cancer Center, Orlando, FL, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Characterizing Cancer Disparities Nationally and Internationally Using Publicly Available Data: Recent Advances
The Surveillance, Epidemiology, and End Results (SEER) program
Kathy Cronin
NIH, Bethesda, MD, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Characterizing Cancer Disparities Nationally and Internationally Using Publicly Available Data: Recent Advances
Integrating spatial science with SEER data
Trang M VoPham
Harvard School of Public Health, Boston, MA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Characterizing Cancer Disparities Nationally and Internationally Using Publicly Available Data: Recent Advances
Use of prospective approaches to characterize cancer registry data
Folakemi T Odedina
Univ. of Florida Health Cancer Center, Orlando, FL, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Chemistry to the Clinic: Part 1: Lead Optimization in Cancer Drug Discovery
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  • Free
  • Unknown permission
    for presentation
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Discovery of BLU-667 for RET driven cancers
Jason Brubaker
Blueprint Medicines, Cambridge, MA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Chemistry to the Clinic: Part 1: Lead Optimization in Cancer Drug Discovery
Discovery and development of USP7 inhibitors
Tim Harrison
Almac Discovery, Belfast, Ireland
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Chemistry to the Clinic: Part 1: Lead Optimization in Cancer Drug Discovery
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  • Permission not
    granted for presentation
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Identification and optimization of chemical series that lead to discovery of erdafitinib: A potent pan-fibroblast growth factor receptor (FGFR) inhibitor
Patrick Angibaud
Janssen R & D, Val-de-Reuil, France
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Chemistry to the Clinic: Part 1: Lead Optimization in Cancer Drug Discovery
Development of potent and selective CD73 inhibitors: Discovery and characterization of AB680
Jenna Jeffrey
Arcus Biosciences, Inc., Hayward, CA, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Clinical Trial Design: Part 1: The ABCs of Doing Cancer Clinical Trials
How to develop trial objectives: Translation of science from bench to bedside to bench
Patricia M LoRusso
Yale Cancer Center, New Haven, CT, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Clinical Trial Design: Part 1: The ABCs of Doing Cancer Clinical Trials
Modernizing eligibility criteria for oncology clinical trials
Tatiana Prowell
U.S. Food and Drug Administration and Johns Hopkins Kimmel Cancer Center, Silver Spring, MD, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Clinical Trial Design: Part 1: The ABCs of Doing Cancer Clinical Trials
Biostatistical principals of clinical trial design
Mithat Gonen
Mem. Sloan Kettering Cancer Ctr., New York, NY, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Clinical Trial Design: Part 1: The ABCs of Doing Cancer Clinical Trials
Designing meaningful and impactful clinical trials
Jyoti D Patel
Univ. of Chicago Medical Ctr., Chicago, IL, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Coevolution of Tumor and Microenvironment in Cancer Metastasis
Systems Immunology and tumor microenvironment: Novel perspectives
Jérôme Galon
INSERM UMRS1138 - Cordeliers Research Ctr., Paris, France
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Coevolution of Tumor and Microenvironment in Cancer Metastasis
Blocking the heterotypic interactions of tumor and TME to control late stage cancer
Dihua Yu
UT MD Anderson Cancer Ctr., Houston, TX, United States
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Coevolution of Tumor and Microenvironment in Cancer Metastasis
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  • Permission not
    granted for presentation
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Exploring the metastatic niche
Ilaria Malanchi
The Francis Crick Institute, London, United Kingdom
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
Coevolution of Tumor and Microenvironment in Cancer Metastasis
Mechanisms underlying polyclonal metastases
Kornelia Polyak
Dana-Farber Cancer Inst., Boston, MA, 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
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
Metabolic Drivers of Cancer
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  • Permission not
    granted for presentation
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Regulation of ROS and cancer progression
Karen H Vousden
The Francis Crick Institute, London, United Kingdom
from AACR Annual Meeting 2019 on March 30, 2019 8:00 AM-10:00 AM
<< first | < prev page: of 9 records per page: next > | last >>
pages: 1 2 3 4 5 ... 6 7 8 9 presentations: 1 to 25 of 215