Current State of Intellectual Property in Microfluidic Nucleic Acid Analysis
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
The development of novel fabrication methods, materials and surface chemistries to implement nucleic acid analysis brings reduced cost, reduced reagent consumption, increased analysis efficiency, portability, ease of use and reliability to todays genomic approach. This trend, as evident by the exponential growth in the number of patent applications, granted patents and commercialized systems, is motivated by the promise for significant breakthroughs and benefits of nucleic acid analysis to drug discovery and point-of-care diagnosis. This review paper aims at identifying the enabling technologies and key patents in microfluidics for nucleic acid analysis. In particular, it seeks to identify granted and pending patents for cell sorting and lysis, nucleic acid extraction and purification, followed by nucleic acid amplification, separation and detection. Additionally, it presents an overview of the current intellectual property environment and seeks to identify trends for the future development. Much of this development is geared increasingly toward fully integrated systems. The convergence of technology and interdisciplinary interests is expected to foster further breakthroughs and commercialization. Keywords: Microfluidic nucleic acid analysis, cell sorting, cell lysis, nucleic acid extraction, nucleic acid separation, polymerase chain reaction, electrophoresis, integrated systems, Lab-on-a-Chip
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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