Multiple myeloma: genome sequencing, drug development and the future outlook
Bibliographic record
Abstract
Keith Stewart is the Dean for Research at Mayo Clinic (AZ, USA). He holds the Vasek and Anna Maria Polak Endowed Professorship in Cancer Research. He received his medical degree at Aberdeen University Medical School and trained in internal medicine and hematology in Glasgow, Kingston, Toronto and Boston. He was a consultant at the Toronto General and Princess Margaret Hospitals from 1992 to 2005 and a Professor in the Faculty of Medicine at the University of Toronto. He joined Mayo Clinic in Arizona in 2005. His lab-based research has focused on the genomics and developmental therapeutics of multiple myeloma. He has led numerous clinical trials from 'first in man', through to large international Phase III studies. Funding for his research includes the National Cancer Institute, the Leukemia and Lymphoma Society (LLS) and the Multiple Myeloma Research Foundation (MMRF). In addition, he is an associate editor of Blood, the journal of the American Society of Hematology (ASH).
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.
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 | 0.000 | 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 | 0.000 |
| 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 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".