Eligible AACR 2019 Annual Meeting Registrants – Activate Your Access
- Sort by:
- Browse by:
- Paid users only
- purchase
- Coming soon
- All slides included
Introduction
Folakemi T Odedina
Univ. of Florida Health Cancer Center, Orlando, FL, United States
- Paid users only
- purchase
- Coming soon
- All slides included
The Surveillance, Epidemiology, and End Results (SEER) program
Kathy Cronin
NIH, Bethesda, MD, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Integrating spatial science with SEER data
Trang M VoPham
Harvard School of Public Health, Boston, MA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Use of prospective approaches to characterize cancer registry data
Folakemi T Odedina
Univ. of Florida Health Cancer Center, Orlando, FL, United States
- Paid users only
- purchase
- Unknown permission
for presentation
Discovery of BLU-667 for RET driven cancers
Jason Brubaker
Blueprint Medicines, Cambridge, MA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Discovery and development of USP7 inhibitors
Tim Harrison
Almac Discovery, Belfast, Ireland
- Permission not
granted for presentation
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
- Paid users only
- purchase
- Coming soon
- All slides included
Development of potent and selective CD73 inhibitors: Discovery and characterization of AB680
Jenna Jeffrey
Arcus Biosciences, Inc., Hayward, CA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
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
- Paid users only
- purchase
- Coming soon
- All slides included
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
- Paid users only
- purchase
- Coming soon
- All slides included
Biostatistical principals of clinical trial design
Mithat Gonen
Mem. Sloan Kettering Cancer Ctr., New York, NY, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Designing meaningful and impactful clinical trials
Jyoti D Patel
Univ. of Chicago Medical Ctr., Chicago, IL, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Systems Immunology and tumor microenvironment: Novel perspectives
Jérôme Galon
INSERM UMRS1138 - Cordeliers Research Ctr., Paris, France
- Paid users only
- purchase
- Coming soon
- Some slides withheld
Blocking the heterotypic interactions of tumor and TME to control late stage cancer
Dihua Yu
UT MD Anderson Cancer Ctr., Houston, TX, United States
- Permission not
granted for presentation
Exploring the metastatic niche
Ilaria Malanchi
The Francis Crick Institute, London, United Kingdom
- Paid users only
- purchase
- Coming soon
- Some slides withheld
Mechanisms underlying polyclonal metastases
Kornelia Polyak
Dana-Farber Cancer Inst., Boston, MA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Introduction
Christopher I Li
Fred Hutchinson Cancer Research Ctr., Seattle, WA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Intended clinical application drives your study design: Principles and operational considerations
Ziding Feng
Fred Hutchinson Cancer Research Ctr., Seattle, WA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Evaluating biomarkers for prognostic enrichment of clinical trials
Kathleen Kerr
University of Washington, Seattle, WA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Deriving early detection biomarker performance goals by setting a minimum benefit-to-harm ratio
Steven J Skates
Massachusetts General Hospital, Boston, MA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Machine learning in imaging: Seeing the invisible
Christos Davatzikos
Center for Biomedical Image Computing and Analytics, Philadelphia, PA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Machine learning in imaging: Seeing the invisible
Saima Rathore
University of Pennsylvania, Philadelphia, PA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
Deep learning: Promises and challenges
Jayashree Kalpathy-Cramer
Harvard Medical School/MGH, Charlestown, MA, United States
- Permission not
granted for presentation
Deep learning for reading mammograms: state-of-the-art and clinical implementation
Regina Barzilay
MIT, Cambridge, MA, United States
- Paid users only
- purchase
- Coming soon
- All slides included
AI tools for computational pathology
Lee Cooper
Emory University, Atlanta, GA, United States