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Record W1968827262 · doi:10.1089/ten.tec.2011.0134

Three-Dimensional System for the <i>In Vitro</i> Study of Megakaryocytes and Functional Platelet Production Using Silk-Based Vascular Tubes

2011· article· en· W1968827262 on OpenAlexaff
Isabella Pallotta, Michael L. Lovett, David L. Kaplan, Alessandra Balduini

Bibliographic record

VenueTissue Engineering Part C Methods · 2011
Typearticle
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsUniversity Hospital Foundation
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institutes of HealthRegione LombardiaFondazione Cariplo
KeywordsPlateletBone marrowThrombosisMedicineMegakaryocyteImmunologyBiologyInternal medicineCell biologyHaematopoiesisStem cell

Abstract

fetched live from OpenAlex

Platelets are specialized cells produced by megakaryocytes in the bone marrow that represent the first defense against hemorrhage, yet they also play a pathological role in thrombosis, inflammation, and cancer. Millions of platelet transfusions are conducted each year, and the supply of this blood component is limited. There are many diseases where platelet production or function is impaired with severe consequences for patients. With such clinical need, new insight into the formation of platelets would have a major impact on patients and healthcare. We developed an innovative 3D system to study platelet production that represents the first spatial reconstruction of the bone marrow environment. In this system human megakaryocytes were able to migrate toward the vascular niche, extend proplatelets, and release functional platelets into vascular tubes. The combination of different bone marrow components and the compliance of silk-based vascular tubes makes this model a unique tool for the study of platelet formation and production for use in healthcare needs.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.061
GPT teacher head0.299
Teacher spread0.238 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations78
Published2011
Admission routes1
Has abstractyes

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