Broadly Neutralizing Antibodies for Human Immunodeficiency Virus Treatment: Broad in Theory, Narrow in Reality
Bibliographic record
Abstract
In this viewpoint, we briefly review the status of antiretroviral therapy (ART), its unmet needs, and the role that broadly neutralizing antibodies (bNAbs) might have in the near future for the treatment of human immunodeficiency virus (HIV). We summarize advances in the development of bNAbs as antiretroviral therapy, the results of main clinical trials of bNAbs for HIV treatment and prevention, and its role in cure trials. The limitations of broadly neutralizing antibodies are the current need for primary resistance testing, the still unclear number of antibodies that must be combined, the lack of penetration in anatomical reservoirs, and the role they might play in cure studies. We compare the advantages and disadvantages of "classical ART" and therapy based on broadly neutralizing antibodies. We conclude that broadly neutralizing antibodies still need considerable improvements before they can be considered an alternative to classical ART.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".