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Record W4367281379 · doi:10.1121/10.0018426

Technological considerations for delivering focused ultrasound exposures to the spinal cord

2023· article· en· W4367281379 on OpenAlexaff
Meaghan A. O’Reilly

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2023
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsSpinal cordMedicineUltrasoundFocused ultrasoundVertebral columnNeuroscienceRadiologyAnatomyPsychology

Abstract

fetched live from OpenAlex

Focused ultrasound opening of the blood-brain barrier (BBB) has reached clinical investigations and seems poised to revolutionize the treatment of brain disorders. Far less attention has been paid to the spinal cord and functionally equivalent blood-spinal cord barrier (BSCB). Small and large animal studies demonstrate that ultrasound and microbubbles can be used to modulate the BSCB in a similar manner to the BBB. However, the complex bony geometry of the vertebral column poses a challenge to the non-invasive delivery of therapeutic ultrasound exposures to the spinal canal. This talk will review work developing spine-specific ultrasound pulse trains and identifying optimal apertures for maximizing sound transmission through the vertebral arch.

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.027
GPT teacher head0.263
Teacher spread0.236 · 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
GenreMethods

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
Published2023
Admission routes1
Has abstractyes

Explore more

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