Antipsoriatic Drug Development: Challenges and New Emerging Therapies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Psoriasis is a chronic recurring skin disorder affecting up to 2% of the world's population. Psoriatic lesions are generally visible, leading to significant emotional and social disabilities for patients. In the context of psoriasis, the orchestrated interplay between activated T cells, antigen-presenting cells and keratinocytes leads to the release of proinflammatory cytokines, chemokines and chemical mediators responsible for the perpetuation of this disease. Even though some therapies are available for psoriasis treatment, there is still no cure for this skin disorder and psoriatic patients are significantly unsatisfied, as demonstrated by recent worldwide surveys. Unlike other diseases, psoriasis does not have a generally accepted animal model, which complicates the successful introduction of new antipsoriatic drugs into clinical phases of development. Moreover, psoriasis affects infants, children and elderly patients which require long-term therapies. Thus, the development of new therapeutic approaches should consider multiple factors such as efficacy, dosing frequency, route of administration, toxicity as well as co-morbidities of patients. This article analyzes current challenges for the antipsoriatic drug development and reviews recent patent applications gathered from 2000 to 2011 for psoriasis treatment. Additionally, future perspectives for antipsoriatic drug development are summarized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it