A Multimaterial Microphysiological Platform Enabled by Rapid Casting of Elastic Microwires
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
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 it