Regenerative Medicine in the State of Florida: Letter Outlining the Florida Organization for Regenerative Medicine
Bibliographic record
Abstract
Advances in regenerative medicine are generating transformative solutions to many of today's incurable medical conditions.These advances have resulted from interdisciplinary efforts across the biological sciences, medicine, and engineering, changes in the regulatory environment-including the passage of the 21st Century Cures Act-and ongoing efforts to drive industry standardization.Increasingly, these advances have been catalyzed by regional initiatives around the U.S. and the world aimed at expediting the discovery, translation, and commercialization of transformative treatments.The proliferation of new models like the Centre for Commercialization of Regenerative Medicine (CCRM) in Canada, the California Institute for Regenerative Medicine (CIRM), and the Advanced Regenerative Manufacturing Institute (ARMI) in New Hampshire, among others, has inspired the creation of the Florida Organization for Regenerative Medicine (FORM), a nonprofit organization with a mission to facilitate translational research, commercialization, education, and therapeutic validation in the area of regenerative medicine with the ultimate aim of improving patient outcomes, creating high-quality jobs, and accelerating innovation through collaboration in the State of Florida and beyond.FORM is comprised of multiple strong and complementary clinical and research groups within Florida, including (from North to South) the Mayo Clinic's Center for Regenerative Medicine;
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 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".