citizen science

Network Analysis of Instagram data on medicines use

Research shows how data on social network (Instagram) have great potential for public health monitoring and surveillance for adverse drug reactions and drug-drug interactions.

Correia, Rion Brattig, Lang Li, and Luis M. Rocha. “Monitoring Potential Drug Interactions and Reactions via Network Analysis of Instagram User Timelines.” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. Vol. 21. NIH Public Access, 2016.

Towards patient-driven data exchanges

As patients strive to manage their own health and illnesses, many wonder how to get a copy of their health data to share with their physicians, load into apps, donate to researchers, link to their genomic data, or have on hand just in case.
Kenneth D. Mandl,  and Isaac S. Kohane, (2016) Time for a Patient-Driven Health Information Economy? N […]

NESTA prediction for citizen’s science

One of NESTA 10 predictions for 2016 is: patients becoming citizen scientists and health going to be crowdsourced:

Patients become citizen scientists
​2016 will bring a new generation of digitally-enabled and patient-led research, says John Loder

Crowdsourced health
This new data is produced, owned and controlled by patients. So it will be accessed on their terms – as active participants rather than passive […]

January 8th, 2016|Big Data, Research|0 Comments|

Systems Medicine 2.0: looking at Big Data from a non-reductionist perspective

A new model for understanding and using drugs may emerge by replacing traditional reductionist approaches (where patients with comorbidities are given a different medicine for each of the conditions, as if they were independent) with a systems approach (with non-linear, dynamic models), applied to Big Data research.

Very interesting thought provoking paper:

Tillmann T, Gibson AR, Scott G, Harrison O, […]

November 13th, 2015|Big Data, Medicine, Research|0 Comments|