Abstract Collection from the 10th Annual Meeting of the European Section of the International Academy of Cardiovascular Sciences
Bibliographic record
Abstract
in cooperation with the International Academy of Cardiovascular Sciences and the Institute for Heart Research, Centre of Experimental Medicine, Slovak Academy of Sciences.It has been recognised as an international forum for cutting-edge knowledge exchange among experts from several scientific disciplines in cardiovascular sciences.Indeed, from 28-30 October 2024, we were pleased to host in Bratislava with more than 170 delegates -clinicians, basic scientists, medical engineers, and experts in biotechnology from various countries around the world.The International Academy of Cardiovascular Sciences is a non-profit organisation that provides a unique platform for the worldwide sharing of research and education information in the field of cardiovascular health.The main mission of this organisation is to promote cardiovascular education for professionals and laypeople and to recognise major cardiovascular achievements by the young and established investigators globally.In line with this, the motto of the jubilee IACS-ES conference was 'Know the heart: novel insights into the prevention and treatment of heart disease to live and promote a healthy lifestyle' .The scientific program was scheduled in 15 symposia running in two parallel sections and referring to many exciting topics, including (1) cardiac inflammation and immunology, (2) women's heart: when gender matters, (3) cardiac ageing, (4) inter-organ communication in heart disease, (5) extracellular vesicles and the cardiovascular system, (6) cardiac electrophysiology and arrhythmias, (7) heart failure, (8) bioengineering in heart research, (9) myocardial adaptation and novel targets of cardioprotection, (10) healthy diet for a healthy heart, (11) cardiac toxicity of non-cardiovascular drugs and (12) efficacy and safety of novel pharmacological interventions for the treatment of cardiovascular diseases.In addition to the lectures, a special focus was given to scientific networking among the young delegates and their scientific promotion.The abstracts are listed alphabetically, rather than referring to the above-mentioned related topics.Furthermore, they are divided into two particular subgroups -(1) abstracts of the distinguished speakers and delegates and (2) abstracts of the regular participants.These abstracts provide the latest findings in heart research and give us new ideas and inspiration for further scientific projects as well as opportunities for further international collaborations in the field of cardiovascular sciences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.430 | 0.194 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".