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Record W2540910451 · doi:10.1109/bmn.2006.330895

Targeted delivery of therapeutic agents with controlled bacterial carriers in the human blood vessels

2006· article· en· W2540910451 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMicro and Nano Robotics
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMagnetotactic bacteriaDrug deliveryMagnetosomeBiomedical engineeringMagnetic nanoparticlesTargeted drug deliveryVascular networkNanomedicineMagnetic resonance imagingMaterials scienceNanotechnologyComputer scienceMedicineNanoparticleRadiologyAnatomy

Abstract

fetched live from OpenAlex

Summary form only given. The treatment of cancer is one of the most challenging tasks of modern medicine and secondary toxicity remains a critical issue. Although intra-arterial chemotherapy or chemo-embolization provides interesting success, the release of drug in the systemic circulation prevents high intra-tumoral drug concentration to be sustained. Hence, targeting specifically the tumor cells becomes a major goal of modern oncology. As such, providing means of carrying microparticles for specific endovascular drug delivery or radioisotopes at the site of the tumor mass would be extremely attractive. Although we have shown experimentally that a clinical magnetic resonance imaging (MRI) system can propel a ferromagnetic core in a human cardiovascular network through an induced force generated by the same magnetic gradients used for MR-imaging, it becomes technological very challenging to apply this method to navigate particles in a 3D space in order to reach the tumor cells through an anarchic arteriolocapillar network stimulated by tumoral angiogenesis. Since the induction of a propulsion force decreases significantly for much smaller particles, propulsion in capillaries would require gradient amplitudes that are technologically and practically not an alternative considering the size and cooling issues of an additional gradient coils systems embedded in the MRI bore. Our proposed concept consists of using magnetotactic bacteria to push microbeads being coated with therapeutic agents in the capillary network. We have shown that the displacement path of a magnetotactic bacterium pushing a microbead can be modified by changing the orientation of the lines of a magnetic field. Preliminary experimental results also showed that magnetotactic bacteria of type MC-1 could swim efficiently in human blood and that a swarm of these bacteria could potentially be detected by MR-imaging. Although the DC magnetic field of clinical MRI systems complicates the directional control of such bacteria compared with an X-ray system that could be upgraded with peripheral permanent or electro-magnets, the use of an MRI system has many advantages in term of imaging modalities and the lack of radiation. We report preliminary studies related to local perturbations of the DC magnetic field of a clinical MRI system time multiplexed with imaging sequences that could allow the target delivery of therapeutic agents through microbeads being pushed by magnetotactic bacteria operating under computer control

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.169
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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

Quick stats

Citations22
Published2006
Admission routes1
Has abstractyes

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