ArticleBiomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)2013
Informatics-Driven Infectious Disease Research.
Article in Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference), 2013. 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Informatics-driven approaches change how research and development are conducted, who participates, and enables systems-oriented views of science and research. Most life sciences researchers have a very strong desire for the full integration of data and analysis tools delivered through a single interface. Infectious disease (ID) research and development provides a uniquely challenging and high impact opportunity. The biological complexity of infectious disease systems, which are composed of multiple scales of interactions between potential pathogens, hosts, vectors, and the environment, challenges information resources because of the breadth of organism-organism and organism-environment interactions. Applications of integrated data for ID serves a variety of constituencies, such as clinicians, diagnostician, drug and vaccine developers, and epidemiologists. Thus there is a complexity that makes ID an opportune area in which to develop, deploy and use CyberInfrastructure.
Identifiers
What 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.