Tag Archives: medical data
Opening access and exploring sepsis in an Intensive Care database. Q&A with Tom Edinburgh
Chris Armit - March 15, 2022
Author Q&A with Tom Edinburgh on his new GigaByte paper presenting Sepsis-3 criteria in AmsterdamUMCdb, an Intensive Care database.
Data on arm motion control for the human-machine interface
Hans Zauner - July 23, 2021
A new “multi-modal” data set on arm motion control, published recently in GigaScience, is an important contribution to develop robotic prosthetic devices and other tools at the interface between human and machine.
Diversity, Ancestry, and the Tenacious Concept of Race: GigaScience at GA4GH
Chris Armit - October 5, 2020
Diversity, Ancestry, and the Tenacious Concept of Race The Global Alliance for Genomics and Health (GA4GH) is a policy-framing and technical standards-setting organization, seeking to enable responsible genomic data sharing within a human rights framework. GigaScience are organisational members, and their meeting often coincides with the American Society of Genetics meeting that sometimes participate in […]
Medical Imaging with Deep Learning in the Time of Coronavirus
Chris Armit - July 14, 2020
Montréal was the venue for Medical Imaging with Deep Learning 2020 (MIDL 2020) that took place on 6-9 July 2020. Due to the COVID-19 crisis, like many meetings this year (such as the ISMB conference we attend every year), the new normal has been to make it a virtual conference. GigaScience Data Scientist Chris Armit […]
Research Parasites Wanted. Q&A with Casey Greene & Brian Byrd
Scott Edmunds - September 14, 2017
As a journal focussed on open science we are big promoters of research parasites (and research on parasites), and try to feeds them with open data and tools. It is therefore appropriate this is the second year GigaScience has supported and sponsored the Research Parasite awards. In one of our Q&As, organisers Casey Greene and […]
Guest posting: Building a PhenoMeNal metabolomics e-infrastructure
Scott Edmunds - July 19, 2016
David Johnson and the PhenoMeNal consortium have a guest posting on their efforts in building an open, community-supported, e-infrastructure for medical metabolomics data, and how they are seeking community feedback on the requirements for the data infrastructures needed.
Guest Blog: The Ebola Epidemic revisited – where are we in 2015?
Scott Edmunds - January 15, 2015
Following from his guest blog in October on “Approaches and resources to slow the spread of infection”, Michael Dean from the Center of Cancer Research at the NIH uses his data oriented approach to give an update of where the Ebola epidemic is. While there may be less media coverage (apart from in the UK), this doesn’t relate to the […]
Secure Genetic Data Moves into the Fast Lane of Discovery
Scott Edmunds - November 6, 2014
Take a ride down chromosome highways with a novel web-based platform that allows sharing of private genetic data while maintaining privacy through a colourful dynamic visualization tool. The Human Genome Project offered new hope that discovering the genetic determinants which mediate chronic disease susceptibility would lead to new avenues for drug development and targeted therapy, […]
Guest Blog: The 2014 Ebola Epidemic: Approaches and resources to slow the spread of infection
Scott Edmunds - October 27, 2014
The Ebola pandemic presents one of the most terrifying world health crises in modern times, with devastating consequences in Western Africa [as this goes to press there are now over 10,000 infections and almost 5,000 deaths]. There is a vast amount of data on this crisis available in rapidly published articles and on the internet […]
Guest posting: Many journals have determined that they can assist in data sharing
Scott Edmunds - April 23, 2014
Today we have a guest posting from F1000’s Iain Hrynaszkiewicz covering the topic of medical data sharing One of the world’s most influential medical journals recently highlighted data sharing as an important issue to be addressed if we are to improve the quality of reporting of biomedical research. However, the journal may have overlooked strong […]