Transition Metal-containing Dendrimers in Biomedicine
Bibliographic record
Abstract
There has been increasing research into designing transition metal-containing dendrimers as innovative materials, especially in the field of biomedicine and pharmaceutical science. They have applications in biosensors and drug-delivery systems, and are now one of the leading classes in the design of therapeutics for drug-resistant diseases. This book introduces readers to a number of classes of metal-containing dendrimers, before moving onto their design and synthesis. Their applications in biomedicine are then discussed, before highlighting future research targets in this growing field. It emphasizes the synthetic strategies to design transition metal-containing dendrimers, and discusses the type of laboratory work used to examine these types of dendrimers in the fields of medicine and pharmacology, including their antimicrobial, anticancer, anti-inflammatory and antiviral activities. Transition Metal-Containing Dendrimers in Biomedicine brings chemistry, biology, pharmaceutical science and medical fields together to design these future materials which will have global benefits.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.004 | 0.003 |
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; both teacher heads agree on what is shown here.
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".