Bibliographic record
Abstract
The ability to generate human cardiomyocytes from either embryonic stem cells or induced pluripotent stem cells, provides an unprecedented opportunity to establish human in vitro models of cardiovascular disease as well as to develop replacement cardiac tissue for therapeutic applications. Here, we will present our recent efforts at generating a microarray of human cardiac microwires (CMW) using hESC derived cardiomyocytes (Hes2) and collagen gel compaction. Within this system, we recapitulated the basic microenvironment found in the heart, one which integrates cardiomyocytes, non‐myocytes, the extracellular matrix, and dynamic electromechanical forces. CMW are morphologically reproducible, maintain high cardiac protein expression in a highly dense, aligned, and suspended 3‐D extracellular matrix and can be cultured for at up to 30 days. A rapid, 7‐day maturation regimen that included electrical field stimulation yielded CMWs with a conduction velocity of 47.4 ± 12.4 cm/s, on par with healthy human heart tissue. The spontaneous beating rate in CMWs was amenable to pharmacological manipulation using lidocaine and norepinephrine while isoproterenol treatment caused hypertrophic response.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".