ArticleACS nano2014
Of molecules, medicine, and Google Glass.
Article in ACS nano, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A compelling area of use for Google Glass, a new computing and communication platform in the form of a network-connected head-worn system, is in laboratory experimentation and medicine. In the current issue of ACS Nano, Ozcan and colleagues describe how Google Glass can be used to automatically identify the results of immuno-assays. This and other recent pioneering works point toward the utility of the platform in aiding and augmenting the experience of laboratory scientists and physicians by enabling on-the-go access to information, seamless recording and documentation, live sharing of points of view, and eventually augmented reality.
Indexed as
Identifiers
24660816What OpenQuestion holds
Registered trials
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.