Evidence map›Paper›PMID 29448963›Full record

ReviewJournal of translational medicine2018

Academic medical centers as innovation ecosystems to address population -omics challenges in precision medicine.

Patrick J Silva, Valerie M Schaibley, Kenneth S Ramos

Open access · goldAbstract readReview
In one paragraph

Review in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Regulatory science: The need for empowering Indian innovation.The Indian journal of medical research · 2021
    Article
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Patrick J SilvaOffice of the Senior Vice President Health Sciences, University of Arizona Health Sciences, Drachman Hall, Room B207, 1295 North Martin Avenue, P.O. Box 210202, Tucson, AZ, 85721-0202, USA. ricksilva@email.arizona.edu.
Valerie M SchaibleyCenter for Applied Genetics and Genomic Medicine, University of Arizona, 1295 North Martin Avenue, Drachman Hall, Room B207, Tucson, AZ, 85721-0202, USA.
Kenneth S RamosOffice of the Senior Vice President Health Sciences, University of Arizona Health Sciences, Drachman Hall, Room B207, 1295 North Martin Avenue, P.O. Box 210202, Tucson, AZ, 85721-0202, USA. ksramos@email.arizona.edu.
University of Arizona · US

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI George S Watts · 1994 to 2026
$36.7M
NIEHS NIH HHS P30 ES006694
6 · The paper itself

Abstract

While the promise of the Human Genome Project provided significant insights into the structure of the human genome, the complexities of disease at the individual level have made it difficult to utilize -omic information in clinical decision making. Some of the existing constraints have been minimized by technological advancements that have reduced the cost of sequencing to a rate far in excess of Moore's Law (a halving in cost per unit output every 18 months). The reduction in sequencing costs has made it economically feasible to create large data commons capturing the diversity of disease across populations. Until recently, these data have primarily been consumed in clinical research, but now increasingly being considered in clinical decision- making. Such advances are disrupting common diagnostic business models around which academic medical centers (AMCs) and molecular diagnostic companies have collaborated over the last decade. Proprietary biomarkers and patents on proprietary diagnostic content are no longer driving biomarker collaborations between industry and AMCs. Increasingly the scope of the data commons and biorepositories that AMCs can assemble through a nexus of academic and pharma collaborations is driving a virtuous cycle of precision medicine capabilities that make an AMC relevant and highly competitive. A rebalancing of proprietary strategies and open innovation strategies is warranted to enable institutional precision medicine asset portfolios. The scope of the AMC's clinical trial and research collaboration portfolios with industry are increasingly dependent on the currency of data, and less on patents. Intrapeneurial support of internal service offerings, clinical trials and clinical laboratory services for example, will be important new points of emphasis at the academic-industry interface. Streamlining these new models of industry collaboration for AMCs are a new area for technology transfer offices to offer partnerships and to add value beyond the traditional intellectual property offering.

Indexed as

Academic Medical CentersGenomicsPrecision MedicineCooperative BehaviorGenome, HumanHumansBiomarker collaborationData ecosystemDiagnostic technologyGenomicsIndustry allianceLicensingOpen innovationPrecision medicineTechnology transfer

Identifiers

PMID29448963
PMCPMC5815198
OpenAlexW2793748204

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.