The Urgent Need for Clinical Research Reform to Permit Faster, Less Expensive Access to New Therapies for Lethal Diseases
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
High costs of complying with drug development regulations slow progress and contribute to high drug prices and, hence, mounting health care costs. If it is exorbitantly expensive to bring new therapies to approval, fewer agents can be developed with available resources, impeding the emergence of urgently needed treatments and escalating prices by limiting competition. Excessive regulation produces numerous speed bumps on the road to drug authorization. Although an explosion of knowledge could fuel rapid advances, progress has been slowed worldwide by inefficient regulatory and clinical research systems that limit access to therapies that prolong life and relieve suffering. We must replace current compliance-centered regulation (appropriate for nonlethal diseases like acne) with "progress-centered regulation" in lethal diseases, where the overarching objective must be rapid, inexpensive development of effective new therapies. We need to (i) reduce expensive, time-consuming preclinical toxicology and pharmacology assessments, which add little value; (ii) revamp the clinical trial approval process to make it fast and efficient; (iii) permit immediate multiple-site trial activation when an eligible patient is identified ("just-in-time" activation); (iv) reduce the requirement for excessive, low-value documentation; (v) replace this excessive documentation with sensible postmarketing surveillance; (vi) develop pragmatic investigator accreditation; (vii) where it is to the benefit of the patient, permit investigators latitude in deviating from protocols, without requiring approved amendments; (viii) confirm the value of predictive biomarkers before requiring the high costs of IDE/CLIA compliance; and (ix) approve agents based on high phase I-II response rates in defined subpopulations, rather than mandating expensive, time-consuming phase III trials.
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 | 0.037 | 0.081 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| 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 it