Developing Topics submissions are designed to bring the latest research findings in the field — which were not available by the general abstract submission deadline — to AAIC attendees.

Criteria

• Quality of scientific research.
• Relevance to Alzheimer’s disease and related disorders.
• Newness of information.
• Potential impact on the research community.
• Topics of interest include:
  • Basic science and pathogenesis.
  • Biomarkers.
  • Clinical manifestations.
  • Drug development.
  • Public health.
  • Dementia care.
  • And more.

Additional Information

• Previously submitted/reviewed abstracts and sessions will not be considered.
• A limited number of abstracts and sessions are selected, with selection based on timeliness and scientific merit.
• Only under extraordinary circumstances will abstracts without results be considered.
• With the exception of Encore abstracts, accepted abstracts are published in an online supplement to the Association's journal, Alzheimer's & Dementia^®: The Journal of the Alzheimer's Association.
• Developing Topics abstracts and sessions must be submitted via the online system.
• Developing Topics abstracts are not accepted for the Alzheimer's Imaging Consortium or Technology and Dementia.
• An author may present in two oral platforms as long as one is a Developing Topics session.

New for 2024: Submit a Session Proposal

Submit a Developing Topic session proposal. Sessions should be centered around one scientific study of great importance and interest to the scientific community.

Each proposal can include the following session roles:

• Session chairs (2 are required).
• Presenter(s) with a submitted abstract (1 is required).
• Speaker(s) without a submitted abstract.
• Each session must have between 4-6 presenters and speakers total.

Sessions will undergo peer review. Abstracts in sessions that are not selected will be automatically transferred for consideration for oral presentations as individual abstracts.

An extremely limited number of sessions will be selected, with selection based on timeliness and scientific merit.