VAT photopolymerization of native extracellular matrix and patient-derived ipsc recellularization for personalized 4d bioprinting
Bibliographic record
Abstract
Organ transplantation is the last resort for patients suffering end-stage organ failure [1,2]. Acknowledged as the most effective treatment concerning life expectancy and quality of life, this life-saving medical intervention grapples with persisting organ scarcity [1–5]. According to the Canadian Organ Replacement Register’s 2023 annual summary statistics, the transplant waitlist mortality rate was 31%, leaving 3,427 individuals still awaiting organ transplantation in Canada [3]. Furthermore, the ongoing challenges of organ compatibility persist; lifelong close monitoring and immunosuppression are standard for recipients [4]. In light of these challenges, researchers are exploring the application of the extracellular matrix to help relieve transplantation demands, through organ decellularization, followed by recellularization in succession [5]. This viewpoint proposes the replication of native extracellular matrices through vat photopolymerization as a feasible and novel avenue to producing personalized 4D bioprinted organs, for addressing current issues regarding transplantation.
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".