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Record W2883213186 · doi:10.1002/sctm.18-0066

Regenerative Medicine in the State of Florida: Letter Outlining the Florida Organization for Regenerative Medicine

2018· letter· en· W2883213186 on OpenAlexaboutno aff
Charles J. Bruce, Guojun Bu, John M. Centanni, Mary Dabney Davis, Jon Dobson, Joshua M. Hare, Gregg Fields, Richard Jove, Norma S. Kenyon, Aisha Khan, Keith L. March, Sandro Matosevic, Ayesha Mahmood, Carl J. Pepine, Camillo Ricordi, Shane A. Shapiro, Claudia Zylberberg, Ezequiel Zylberberg

Bibliographic record

VenueStem Cells Translational Medicine · 2018
Typeletter
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsnot available
FundersInstituto de Sistemas Complejos de IngenieríaUniversidad del AtlánticoFlorida Atlantic UniversityNova Southeastern UniversityUniversity of FloridaUniversity of Miami
KeywordsRegenerative medicineState (computer science)MedicineBiologyStem cellComputer scienceGenetics

Abstract

fetched live from OpenAlex

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; the University of Florida's Center for Regenerative Medicine, which operates across the university and is based in the College of Medicine (CoM), and Institute for Cell and Tissue Science and Engineering (ICTSE) in the College of Engineering (CoE); Nova Southeastern University's Cell Therapy Institute (CTI); Florida Atlantic University's Center for Molecular Biology and Biotechnology (CMBB); and the University of Miami's Diabetes Research Institute (DRI), Cell Transplant Center (CTC), and Interdisciplinary Stem Cell Institute (ISCI). Furthermore, FORM aims to convene nonprofit organizations and for-profit companies integral to the state's regenerative medicine industry, including 42Bio, LLC, Akron Biotechnology, LLC, AxoGen, Corp, BioFlorida, Inc., Brammer Bio, LLC, CytoSen Therapeutics, Inc., Iovance Biotherapeutics, Inc., Lifelink Foundation, Inc., Leidos Health (subsidiary of Leidos, Inc.), Longeveron, LLC, RTI Surgical, Inc., and Vestion, Inc., among others. FORM aims to leverage state, federal, and philanthropic funding to foster strong and integrative collaboration among academic, government and private sectors in order to accelerate activities necessary to establish the State of Florida as one of the hubs of this nascent and important industry. These activities include supporting translational research, facilitating the commercialization of therapeutics and engineered tissues, creating and driving workforce development initiatives, and validating novel treatments to support the safe and efficacious uptake of regenerative medicine. The State of Florida is home to various institutions and companies active in the regenerative medicine space. Given the strength of its research and clinical institutions, the dynamism of its industrial base, and its size and demographics, the state can and should be a key driver in the emergence of this new paradigm in human health. FORM endeavors to convene the state's leading institutions and companies to drive economic growth, accelerate innovation, and improve patient outcomes through the development and commercialization of regenerative therapies.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.005
Scholarly communication0.0040.006
Open science0.0020.002
Research integrity0.0620.041
Insufficient payload (model declined to judge)0.0060.003

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.

Opus teacher head0.045
GPT teacher head0.295
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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