The American Association for Cancer Research (AACR) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education activities for physicians.
Credit Designation Statement
AACR has designated this live activity for a maximum of 17.75 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
Credit certification for individual sessions may vary, dependent upon compliance with the ACCME Accreditation Criteria. The final number of credits may vary from the maximum number indicated above.
Claiming (CME) Credit
Physicians and other health care professionals seeking AMA PRA Category 1 Credit(s)TM for this live continuing medical education activity must complete the online CME Request for Credit Survey by November 27, 2019. Certificates will only be issued to those who complete the survey. The Request for Credit Survey is available below and via email. Your CME certificate will be sent to you via email after the completion of the activity.
Statement of Educational Need, Target Audience, and Learning Objectives
Since the founding of the U.S. National Cancer Institute’s founding of the Physical Sciences – Oncology Centers program in 2009, there has been a growing interest in the U.S. and abroad to explore innovative approaches and attract non-traditional scientific disciplines to the cancer research community. According to the IARC’s Section of Cancer Surveillance, in 2018, the number of new cancer cases is estimated to exceed 18,000,000 and the number of cancer deaths will exceed 9,500,000. Bringing medical oncologists, cancer biologists, mathematicians, chemists, engineers, data scientists, etc. are necessary to take advantage of technological advances and opportunities to address the cancer burden from converging areas.
Sessions will address scientific and clinical barriers to treatment success, preclinical and clinical detection of response and resistance, and artificial intelligence, big data, and emerging technologies (surgical, pathological, radiologic) applications for improving early detection and improved patient care.
After participating in this CME activity, physicians should be able to:
1. Identify advances in technologies that have application to monitoring both response and resistance to therapeutic interventions.
2. Assess the potential impact of new radiologic, surgical, and digital technologies and their impact in cancer detection and treatment.
3. Explain the clinical challenges that may be addressed by the integration of big data, machine learning, and artificial intelligence.
4. Articulate how advances in the understanding of biophysics in relation to cancer may impact metastasis research and treatment failure.
It is the policy of the AACR that the information presented at AACR CME activities will be unbiased and based on scientific evidence. To help participants make judgments about the presence of bias, AACR will provide information that Scientific Program Committee members and speakers have disclosed about financial relationships they have with commercial entities that produce or market products or services related to the content of this CME activity. This disclosure information will be made available in the Program/Proceedings of this conference.
Acknowledgment of Financial or Other Support
This activity is supported by Professional Educational Grants and will be disclosed at the activity.
Questions about CME?
Please contact the Office of CME at (215) 440-9300 or firstname.lastname@example.org