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Record W2116434127 · doi:10.1086/600105

Highly Effective Oral Amphotericin B Formulation against Murine Visceral Leishmaniasis

2009· article· en· W2116434127 on OpenAlexaff
Kishor M. Wasan, Ellen K. Wasan, Pavel Gershkovich, Xiaohua Zhu, Richard R. Tidwell, Karl A. Werbovetz, John G. Clement, Sheila J. Thornton

Bibliographic record

VenueThe Journal of Infectious Diseases · 2009
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsBritish Columbia Institute of TechnologyiCo Therapeutics (Canada)University of British Columbia
Fundersnot available
KeywordsVisceral leishmaniasisAmphotericin BLeishmaniasisLeishmania donovaniMedicinePopulationLeishmaniaImmunologyPharmacologyAntifungalEnvironmental healthDermatologyParasite hosting

Abstract

fetched live from OpenAlex

Visceral leishmaniasis is a deadly parasitic disease caused by obligate intramacrophage protozoans of the Leishmania genus. The World Health Organization estimates the annual death toll to be 50,000, with 500,000 new cases each year. Without treatment, visceral leishmaniasis is inevitably fatal. For the last 70 years, the first line of defense has been pentavalent antimonials; however, increased resistance has brought amphotericin B to the forefront of treatment options. Unfortunately, the difficult route of drug administration, toxicity issues, and cost prevent amphotericin B from reaching the infected population, and mortality continues to rise. Our reformulation of amphotericin B for oral administration has resulted in a highly efficacious antileishmanial treatment that significantly reduces or eradicates liver parasitemia in a murine model of visceral leishmaniasis. This formulation has overcome amphotericin B's significant physicochemical barriers to absorption and holds promise for the development of a self-administered oral therapy for the treatment of visceral leishmaniasis.

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 score0.003

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 integrity0.0000.001
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 head0.012
GPT teacher head0.292
Teacher spread0.280 · 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

Citations86
Published2009
Admission routes1
Has abstractyes

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