Evidence map›Paper›PMID 24860724›Full record

ArticleCurrent opinion in chemical engineering2014

Intelligent recognitive systems in nanomedicine.

Heidi Culver, Adam Daily, Ali Khademhosseini, Nicholas Peppas

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current opinion in chemical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
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

4 authors at 2 institutions in 1 country.

Heidi CulverUniversity of Texas at Austin, Department of Biomedical Engineering, 107 W. Dean Keeton, BME Building, 1 University Station, C0800, Austin, TX 78712 USA.
Adam DailyUniversity of Texas at Austin, Department of Biomedical Engineering, 107 W. Dean Keeton, BME Building, 1 University Station, C0800, Austin, TX 78712 USA.
Ali KhademhosseiniHarvard University, School of Medicine, Brigham & Women's Hospital, 75 Francis Street, Boston, MA 02115 USA ; Massachusetts Institute of Technology, Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Avenue, Cambridge MA 02139 USA ; Harvard University, Wyss Institute for Biologically Inspired Engineering, 3 Blackfan Circle, Boston, MA 02115 USA.
Nicholas PeppasUniversity of Texas at Austin, Department of Biomedical Engineering, 107 W. Dean Keeton, BME Building, 1 University Station, C0800, Austin, TX 78712 USA ; University of Texas at Austin, College of Pharmacy, 100 W. Dean Keeton Street, Austin, TX 78712 USA ; University of Texas at Austin, Department of Chemical Engineering, 200 E. Dean Keeton Street, C0400, Austin, TX 78712.
The University of Texas at Austin · USBrigham and Women's Hospital · US

Funding

pH Sensitive Complex Hydrogels for Protein Drug ReleaseR01EB000246 · NIBIB · UNIVERSITY OF TEXAS AUSTIN · PI LOWMAN, ANTHONY M, PEPPAS, NICHOLAS A · 2002 to 2014
$3.8M
NIBIB NIH HHS R01 EB000246
6 · The paper itself

Abstract

There is a bright future in the development and utilization of nanoscale systems based on intelligent materials that can respond to external input providing a beneficial function. Specific functional groups can be incorporated into polymers to make them responsive to environmental stimuli such as pH, temperature, or varying concentrations of biomolecules. The fusion of such "intelligent" biomaterials with nanotechnology has led to the development of powerful therapeutic and diagnostic platforms. For example, targeted release of proteins and chemotherapeutic drugs has been achieved using pH-responsive nanocarriers while biosensors with ultra-trace detection limits are being made using nanoscale, molecularly imprinted polymers. The efficacy of therapeutics and the sensitivity of diagnostic platforms will continue to progress as unique combinations of responsive polymers and nanomaterials emerge.

Identifiers

PMID24860724
PMCPMC4026402
OpenAlexW2095027250

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.