Microscale hydrogel-based computer-triggered polymorphic microrobots for operations in the vascular network
Bibliographic record
Abstract
A new type of microrobots for medical interventions in the vascular network is presented. In its simplest form, each microscale robots consists of magnetic nanoparticles (MNP) embedded in a thermo-sensitive hydrogel, also known as PNIPA. The nanoparticles are not only used for propulsion/steering, and MRI-based tracking inside the body due to local magnetic field inhomogeneity, but also for triggering a change of volume of the microrobots. The latter is possible since the MNP can introduce heat in the hydrogel-based microrobots when placed in an AC magnetic field. In this paper, spherical PNIPA-MNP were synthesized and propelled by the magnetic gradient field inside a clinical MRI scanner before being submitted when at a targeted location to a special apparatus capable of generating an AC magnetic field of 4 kA.m-1at 160 kHz. Temperature elevations and change in the overall volume of the microrobots were recorded.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".