Filter‐based isolation, enrichment, and characterization of circulating tumor cells
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.
Bibliographic record
Abstract
Isolation of circulating tumor cells (CTCs) from blood has long been a challenge due to the rarity and heterogeneity of these cells. Detection technologies have predominantly focused on different molecular or physical properties of CTCs. Size-based isolation approach using microfilters have been widely used to capture CTCs because of the difference in size and stiffness of the cells compared to other hemocytes. Isolation of rare cells based on their size was the original CTC enrichment technique and it demonstrated a simple yet rapid method that enhanced the recovery of cells with high throughput. In this review, we highlight key technical aspects of filter-based isolation, detection, and characterization of CTCs, and compare the clinical performance of filter-based devices with the approved platforms and immunoassays used for the analysis of CTCs. We have also discussed future prospective and incorporation of advances in immunochemistry technique into the filter-based platforms for enhancing the utility in clinical settings.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it