Radioimmunotherapy as a Novel Approach in HIV, Bacterial, and Fungal Infectious Diseases
Bibliographic record
Abstract
In the past several decades, many antimicrobial agents have been used in treating different fungal, bacterial, and viral infections. However, these agents have faced challenges such as pronounced side-effect profiles and pathogen resistance. In addition, a cure for many chronic infections such as human immunodeficiency virus (HIV) has not been achieved, and the incidence of opportunistic infections in immunocompromised patients has increased significantly in the past decades. Therefore, an alternative strategy for combating these infections is needed. Radioimmunotherapy (RIT) has been proposed to be a valuable tool in the management of such infections. The side-effects associated with RIT are minimal as the targeted antigens are only expressed on microbial or infected cells. RIT demonstrated impressive potency in eradicating pathogens in animal models and patient samples. Cryptococcus neoformans, HIV, and Bacillus anthracis are few examples of infections for which RIT has been an effective treatment using radionuclides such as bismuth-213 (213Bi) or rhenium-188 (188Re).
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".