Call For Abstracts
Abstracts are open and will be closing on the 31st July 2023.
Abstract Format
Abstracts may be submitted in English or French. All abstracts must be submitted through the ASLM2023 online submission platform. Abstracts emailed to ASLM staff or conference committee members will not be considered.
The abstract body is limited to 300 words and should follow the format outlined below, using the required headings. Titles are limited to 50 words. No more than 10 authors may be listed. Figures and tables may not be included as part of the abstract.
Required Metadata
- Abstract Information: Title highlighting the primary content of the abstract (maximum length: 50 words). Three keywords
or phrases relevant to the abstract for indexing purposes - Authors: Authors’ names should be listed using both first (given) name and family (last) surname. Include email address,
current affiliation, country, and declare any conflicts of interest. (Maximum number of authors: 10) - NOTE: Changes to the author list after submission are not permitted. Please double check that all names and the order of
author in the list is complete and correct before submitting.
Body
- Background: Briefly describe the issue and questions that address a particular knowledge and/or experiential gap, by the
work presented. - Methods: Describe the experimental method/s used (e.g. descriptive, analytical, cross-sectional, etc.).
- Results: Summarise the most important results, illustrated by numbers, percentages and p-values if applicable.
- Conclusions: Summarise the implications and significance of the results for patient care, public health, and/or laboratory
medicine.
Choose a “Scientific Track” and “Category” during the submission process. The Track Category is the general heading under which the abstract will be reviewed and later published. The Track Category which best describes the subject of the abstract should be selected. The meeting organisers reserve the right to determine the final Track Category that best suits the abstract content. Abstracts that do not fall within any of the tracks related to the conference will be rejected.
Scientific Tracks:
A changing landscape for laboratory medicine: challenges & opportunities
1.1 Emerging pathogens and new health threats
1.2 Disruptive technology for in vitro diagnostics
1.3 Laboratory diagnostics in the era of One Health
1.4 Scaling-up diagnostics and respecting the planet
1.5 Collaborative disease surveillance
1.6 Impact of economic, demographic, environmental and political changes on diagnostics services
1.7 Others
Meeting the challenge and taking the opportunity: The good, the bad and the unexpected
2.1 Harnessing the power of pathogen genomics for healthcare, public health and research
2.2 Integrating laboratory testing services and optimizing diagnostic networks
2.3 Transforming the supply chain
2.4 Reducing gaps in the laboratory workforce
2.5 Laboratory in emergency response
2.6 Delivering quality diagnostic for all
2.7 Others
The road to transforming laboratory medicine for the 21st century
3.1 The future of laboratory diagnostics in Africa: approaches and strategies
3.2 Better data for better prediction and decision making
3.3 Community interventions and social science supporting laboratory services
3.4 Equity and access
3.5 Financing and sustainability models for diagnostics
3.6 Laboratory policy and governance
3.7 Collaborations and partnerships to improve laboratory medicine
Abstract submissions will be peer-reviewed by the ASLM2023 Scientific Programme Committee and a panel of ad hoc reviewers; acceptance is based upon the quality of the abstract and significance of the findings. Poorly written abstracts that lack required information may be rejected. It is the author’s responsibility to submit a correct abstract. All errors will be reproduced as typed by the author.
Posters and Oral Abstracts
All abstracts will be reviewed for oral presentation using a standardised scoring methodology. All abstracts not accepted for oral presentation will thereafter be considered for poster presentations.
