Nanomedicine and personalised medicine: understanding the personalisation of health care in the molecular era
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
Globally supported by public policy and investment, nanomedicine is presented as an ongoing medical revolution that will radically change the practice of health care from diagnostic to therapeutic, and everything in between. One of nanomedicine's major promises is that of personalised medicine, enabling diagnostics and therapeutics tailored to individual needs and developing a truly 'patient-friendly' medical approach. Based on qualitative interviews with nanomedicine researchers in Canada, this article explores the emerging concept of personalised medicine as it becomes entangled with nanomedical research. More precisely, drawing on insights from science studies and the sociology of expectations, it analyses researchers' perceptions of personalised medicine in the cutting edge of current nanomedicine research. Two perceptions of personalisation are identified; a molecular conception of individuality and a technical conception of personalisation. The article concludes by examining the relationship between the two conceptions and contrasts them with the normative reflex of a more expansive conception of personalised medicine.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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