A Multimaterial Microphysiological Platform Enabled by Rapid Casting of Elastic Microwires
Bibliographic record
Abstract
Due to escalating drug developmental costs and limitations of cardiotoxicity screening, there is an urgent need to develop robust in vitro 3D tissue culture platforms that can both facilitate the culture of human cardiac tissues and provide noninvasive functional readouts predictive of cardiotoxicity in clinical settings. However, such platforms commonly require complex fabrication procedures that are difficult to scale up to high-throughput testing platforms. Here, innovative multimaterial processing into a scalable and functional platform is proposed in the format of a 96-well plate. Three classes of materials are integrated into the platform. An array of soft elastic microwires is used both as anchors for tissue formation as well as sensors for recording tissue contraction. Conductive carbon electrodes are embedded into the plate to drive electrical stimulation for tissue maturation and pace tissue contraction during drug testing. The bulk of the device is made of rigid polystyrene plastic to eliminate drug-absorbing polydimethylsiloxane (PDMS). The platform has higher throughput than the current state-of-the-art devices, at a significantly reduced cost of manufacturing and tissue production.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".