Emerging Therapeutic Radiopharmaceuticals and Their Theranostic Pairs
Bibliographic record
Abstract
Abstract Nuclear medicine is a rapidly evolving multidisciplinary research field that has been intensively investigated in the past decades. The successful clinical application of various metal‐based radiopharmaceuticals for cancer imaging and therapy is based on the modular assembly of the drug complex through the popular bifunctional chelate (BFC) strategy. In targeted radionuclide therapy (TRT), potent radiation is selectively delivered to the cancer cells using radiopharmaceuticals that incorporate therapeutic radiometals which emit α ‐particles, β − ‐particles, or Meitner–Auger electrons (MAEs). Radiotheranostics is an emerging concept that connects nuclear imaging (via positron emission tomography (PET) or single‐photon emission computed tomography (SPECT)) and therapy for personalized cancer diagnosis and treatment. This article outlines the fundamentals of radiopharmaceutical design and radiotheranostics and presents a general description of the therapeutic emissions accompanied by literature examples of the most promising radionuclides; 212 Pb, 213 Bi, 225 Ac, 227 Th, and 149 Tb for α therapy; 47 Sc, 67 Cu, 77 As, and 161 Tb for β − therapy; and 119 Sb, 135 La, and 197m/g Hg for MAE therapy. A comparison of the currently used or proposed theranostic pairs of each radiometal is presented.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".