Lymph Node‐Targeted Nanomaterials for Controlled Nano‐Immunotherapy
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
Lymph nodes (LNs), as critical components of the lymphatic system, serve as the primary site for adaptive immune responses and represent important therapeutic targets for various diseases. Studies demonstrate that LN metastasis of malignant tumors constitutes a major cause of mortality in cancer patients, highlighting the crucial importance of achieving precise drug accumulation in LNs for enhanced therapeutic efficacy. While significant progress has been made in optimizing lymph‐targeting capabilities through rational design of nanoparticle‐based drug delivery systems, the immunological mechanisms and regulatory pathways involved remain to be fully elucidated. This review focuses on elucidating the interaction mechanisms between nanoparticles and immune cells within LNs through investigating the distribution, retention, and immunomodulatory effects of nanodrugs. By integrating tumor microenvironment characteristics, we aim to precisely regulate the targeted delivery behavior of nanoparticles, thereby advancing the development of enhanced cancer immunotherapy.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it