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Record W4384942799 · doi:10.1149/2754-2726/ace981

Exosomes, the Key Players in Cell-To-Cell Communication as the Universal Nano-Sized Disease Sensors of the Future

2023· article· en· W4384942799 on OpenAlexaff
Kyana Mohammadi, Simona Bǎdilescu, Anirban Ghosh, Muthukumaran Packirisamy

Bibliographic record

VenueECS Sensors Plus · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsConcordia University
Fundersnot available
KeywordsMicrovesiclesDiseaseCellOrganismKey (lock)Computer scienceBiologyMedicinemicroRNAComputer securityPathologyGenetics

Abstract

fetched live from OpenAlex

Exosomes are nanovesicles shed by cells into the extracellular space. From an engineering point of view, exosomes can be assimilated to a complex system, that is, an arrangement of parts that together exhibit a behavior that the individual constituents do not. The authors argue that the unique composition of exosomes as well as their involvement in cell-to-cell communication and monitoring a multitude of diseases, justify entirely looking at exosomes, in the future, as universal sensors of diseases. In this paper, after the short background information on exosomes, the authors show how they are involved in the progress of different diseases.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.005
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.223
Teacher spread0.217 · 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 designTheoretical or conceptual
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

Citations2
Published2023
Admission routes1
Has abstractyes

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Same venueECS Sensors PlusSame topicExtracellular vesicles in diseaseFrench-language works237,207