When Medicine Meets Engineering-Paradigm Shifts in Diagnostics and Therapeutics.

Hann Wang, Aleidy Silva, Chih-Ming Ho

Abstract readReview

In one paragraph

Review in Diagnostics (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hann WangDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Aleidy SilvaDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Chih-Ming HoDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA. chihming@seas.ucla.edu.

Funding

The Center for Systemic Control of Cyto-NetworksPN2EY018228 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HO, CHIH-MING · 2006 to 2010

$8.2M

NEI NIH HHS PN2 EY018228

6 · The paper itself

Abstract

During the last two decades, the manufacturing techniques of microfluidics-based devices have been phenomenally advanced, offering unlimited potential for bio-medical technologies. However, the direct applications of these technologies toward diagnostics and therapeutics are still far from maturity. The present challenges lay at the interfaces between the engineering systems and the biocomplex systems. A precisely designed engineering system with narrow dynamic range is hard to seamlessly integrate with the adaptive biological system in order to achieve the design goals. These differences remain as the roadblock between two fundamentally non-compatible systems. This paper will not extensively review the existing microfluidic sensors and actuators; rather, we will discuss the sources of the gaps for integration. We will also introduce system interface technologies for bridging the differences to lead toward paradigm shifts in diagnostics and therapeutics.

Indexed as

combinatorial drugsfeedback system control (FSC)MEMS transducersmicrofluidic systemnetwork medicine

Identifiers

PMID26835672

DOI10.3390/diagnostics3010126

PMCPMC4665584

What OpenQuestion holds

Textmetadata

LicenceCC BY

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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.