A Review of Personalised Molecular Medicine for the Treatment of Corneal Disorders
Bibliographic record
Abstract
As the field of molecular medicine evolves greater numbers of systems are being utilised to ellicit changes in gene expression in an attempt to resolve genetic or environmental disorders. Within this review we focus on 4 of the more common forms of gene therapy utilised to alter gene expression; siRNAs, TALENs, ZFNs and CRISPR/Cas9. Short-interfering RNAs (siRNAs) are one method of transiently down regulating the expression of any target gene through the exploitation of the RNA interference pathway, often referred to as gene silencing The bacterial Type II Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 genome editing system is the latest method of interrupting gene expression through cleavage of target DNA. Its effectiveness at cleaving genomic DNA in mammalian cells in vitro and in vivo [2, 3], the specificity that this system exhibits [4, 5] and the relative ease with which targeted systems can be constructed Transcription activator-like effector nucleases (TALENs) are artificial systems that can be designed and constructed relatively quickly to bind practically anywhere in the genome and cleave double stranded DNA, thus interrupting the expression of any given target gene
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".