Abstract Submission Info
The 2020 A-CURE® Symposium organizing committee will select Research Grant Awardees from abstracts submitted by October 2, 2019. The top ranking abstracts as determined by the A-CURE Faculty will be invited to compete for one of three Research Grant Awards. Please click this link to be directed to the Rules governing the various grant award mechanisms and their value. Please review these Rules before submitting your abstract for consideration.
Any abstract received after October 2, 2020 will not be eligible for consideration.
Abstract submission criteria
All abstracts should summarize new research that is applicable to the A-CURE mission (see Meeting Overview). Clinical, pre-clinical, registry, modeling, and basic science studies are all encouraged to apply.
All abstracts must be submitted in English with accurate grammar and spelling suitable for publication. All data presented in the abstract must be original material. All abstracts that use animal studies must adhere to the “Principals of laboratory animal care” (NIH Publication number 85-23, revised 1985). If the research being presented involves human subjects, it must conform to the principles of the Declaration of Helsinki of the World Medical Association.
A-CURE requires that abstracts be limited to 300 words total, and all submissions should follow the structured abstract outline below:
Authors may submit up to 2 (two) figures or data tables to support their abstract. Please include numerical data with statistical p-value in the Results section when appropriate. To save space, commonly used acronyms are allowed in the abstract without a prior definition (i.e., STEMI, MAP, BP, etc.). Otherwise, define the term at first use of acronym or abbreviations by using parentheses. References are not allowed in the abstract.
The grading and selection of abstracts for scholarship award purposes is blinded. Therefore, we ask that no identifying text is featured in the abstracts including (but not limited to): names, names of institutes (hospitals, medical schools, universities, etc.), cities, company names, websites, or email addresses.