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Record W2025761252 · doi:10.1517/17530059.1.3.337

Amyloid imaging<i>in vivo</i>: implications for Alzheimer's disease management

2007· article· en· W2025761252 on OpenAlexaff
N. P. L. G. Verhoeff

Bibliographic record

VenueExpert Opinion on Medical Diagnostics · 2007
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPositron emission tomographyMedicineDiseaseIn vivoAlzheimer's diseaseAmyloid (mycology)NeuroimagingClinical trialAmyloid βPathologyNeurosciencePsychologyNuclear medicineBiologyPsychiatry

Abstract

fetched live from OpenAlex

β-Amyloid (Aβ) modification therapies for Alzheimer's disease are being developed that target Aβ production, aggregation and/or degradation. Some of these medications are already in Phase III studies. Therefore, it will be most relevant to be able to quantify the neurobiological target of such therapies directly in vivo in the brain. This could allow a reduction in the required sample size for future clinical trials and will allow a more individually tailored approach once such treatments become clinically available. This article reviews the prevalence of Alzheimer's disease among other dementias, the Aβ cascade, various Aβ positron emission tomography tracers that are being developed, and the potential application of these tracers for Aβ modification 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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.039
GPT teacher head0.389
Teacher spread0.349 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2007
Admission routes1
Has abstractyes

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