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Forward2016 VAM: 1803 - Automating Pollen Identification/NAB
This session will review new methods under investigation which should result in automated aeroallergen determinations which are more cost effective and accurate than current techniques used to assess aeroallergen levels.
Each subject will involve an extensive literature review and discussion among presenters to make sure the information presented is evidence based.
AMA PRA Category 1 Credits™: 1.25
CE: 1.25
Credit must be claimed by May 31, 2018. Any credit request on or after June 1, 2018 will be subject to an administrative fee.
Target Audience
Physicians
Allergists/Immunologists
Nurses
Nurse Practitioners
Allied Health Professionals
Learning Objectives
Upon completion of this session, participants should be able to:
1. Discuss current laboratory techniques which could permit automated aeroallergen determinations
2. Review the problems associated with collecting samples for automated aeroallergen assessments
3. Identify and provide an up-to-date scientific analysis of how soon such techniques will be available to the community
Additional Information
| Attachment | Size |
|---|---|
 2016 Annual Meeting Disclosures | 120.13 KB |
Dr. Mark C. Glaum, MD PhD FAAAAI, University of South Florida Morsani College of Medicine, Tampa, FL
Dr. Michael Teng, PhD, University of South Florida Morsani College of Medicine, Tampa, FL
Martin D. Chapman, PhD FAAAAI, Indoor Biotechnologies, Inc., Charlottesville, VA
Available Credit
- 1.25 AttendanceAttendance credit.
- 1.25 CECE credit.
- 1.25 CMECME credit.