Advances in Islet Transplantation and the Future of Stem Cell–Derived Islets to Treat Diabetes
Bibliographic record
Abstract
β-Cell replacement for type 1 diabetes (T1D) can restore normal glucose homeostasis, thereby eliminating the need for exogenous insulin and halting the progression of diabetes complications. Success in achieving insulin independence following transplantation of cadaveric islets fueled academic and industry efforts to develop techniques to mass produce β cells from human pluripotent stem cells, and these have now been clinically validated as an alternative source of regulated insulin production. Various encapsulation strategies are being pursued to contain implanted cells in a retrievable format, and different implant sites are being explored with some strategies reaching clinical studies. Stem cell lines, whether derived from embryonic sources or reprogrammed somatic cells, are being genetically modified for designer features, including immune evasiveness to enable implant without the use of chronic immunosuppression. Although hurdles remain in optimizing large-scale manufacturing, demonstrating efficacy, durability, and safety, products containing stem cell-derived β cells promise to provide a potent treatment for insulin-dependent diabetes.
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 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) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".