Evidence map›Paper›PMID 27598208›Full record

ArticleDiagnostics (Basel, Switzerland)2016

Evolvable Smartphone-Based Platforms for Point-of-Care In-Vitro Diagnostics Applications.

François Patou, Fatima AlZahra'a Alatraktchi, Claus Kjægaard, Maria Dimaki, Jan Madsen, Winnie E Svendsen

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2016. 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

6 authors.

François PatouDepartment of Micro and Nanotechnology, Technical University of Denmark, 2800 Lyngby, Denmark. frpato@nanotech.dtu.dk.
Fatima AlZahra'a AlatraktchiDepartment of Micro and Nanotechnology, Technical University of Denmark, 2800 Lyngby, Denmark. faaat@nanotech.dtu.dk.
Claus KjægaardDepartment of Electrical Engineering, Technical University of Denmark, 2800 Lyngby, Denmark. clkj@dtu.dk.
Maria DimakiDepartment of Micro and Nanotechnology, Technical University of Denmark, 2800 Lyngby, Denmark. maria.dimaki@nanotech.dtu.dk.
Jan MadsenDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Lyngby, Denmark. jama@dtu.dk.
Winnie E SvendsenDepartment of Micro and Nanotechnology, Technical University of Denmark, 2800 Lyngby, Denmark. winnie.svendsen@nanotech.dtu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association of smart mobile devices and lab-on-chip technologies offers unprecedented opportunities for the emergence of direct-to-consumer in vitro medical diagnostics applications. Despite their clear transformative potential, obstacles remain to the large-scale disruption and long-lasting success of these systems in the consumer market. For instance, the increasing level of complexity of instrumented lab-on-chip devices, coupled to the sporadic nature of point-of-care testing, threatens the viability of a business model mainly relying on disposable/consumable lab-on-chips. We argued recently that system evolvability, defined as the design characteristic that facilitates more manageable transitions between system generations via the modification of an inherited design, can help remedy these limitations. In this paper, we discuss how platform-based design can constitute a formal entry point to the design and implementation of evolvable smart device/lab-on-chip systems. We present both a hardware/software design framework and the implementation details of a platform prototype enabling at this stage the interfacing of several lab-on-chip variants relying on current- or impedance-based biosensors. Our findings suggest that several change-enabling mechanisms implemented in the higher abstraction software layers of the system can promote evolvability, together with the design of change-absorbing hardware/software interfaces. Our platform architecture is based on a mobile software application programming interface coupled to a modular hardware accessory. It allows the specification of lab-on-chip operation and post-analytic functions at the mobile software layer. We demonstrate its potential by operating a simple lab-on-chip to carry out the detection of dopamine using various electroanalytical methods.

Indexed as

electrochemistrylab-on-chipplatform-based designpoint-of-caresmartphonesystem evolvability

Identifiers

PMID27598208
PMCPMC5039567

What OpenQuestion holds

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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.