CloudLIMS @2019 Cannabis Science Conference East, Baltimore, USA
New Trump Policy Makes Integrated Health Records a Reality
Today, I read a published Fortune magazine article written by Jared Kushner, Chris Liddell, and Seema Verma (http://fortune.com/2019/03/04/ehr-medicare-medicaid-jared-kushner/) entitled: “All Your Health Records in Once Place? This New Policy Could Make That a Reality”.[Read More]
Laboratory Informatics Weekly Update – Volume 17, Issue 11
March 13, 2019 Laboratory Informatics Weekly Update Volume 17, Issue 11 In This Issue Upcoming Webinars 03/19/2019 - KEY PERFORMANCE INDICATORS (KPI'S) FOR LABORATORIES03/20/2019 - Webinar: A Trilogy on Using Machine Learning to Impute Laboratory Test Results03/27/2019 - LabWare Customization and Implementation Best Practices Journal Articles SCADA system testbed for cybersecurity research using machine learning approachIn this 2018 article published in Future Internet, Teixeira et al. test five machine learning algorithms in a supervisory control and data acquisition (SCADA) system testbed to determine whether or not machine learning is useful in cybersecurity research. Given the increasing number and sophistication…SCADA system testbed for cybersecurity research using machine learning approach
In this 2018 article published in Future Internet, Teixeira et al. test five machine learning algorithms in a supervisory control and data acquisition (SCADA) system testbed to determine whether or not machine learning is useful in cybersecurity research. Given the increasing number and sophistication of network-based attacks on industrial and research sensor networks (among others), the authors assessed the prior research of others in the field and integrated their findings into their own SCADA testbed dedicated to controlling a water storage tank. After training the algorithms and testing the system with attacks, they concluded that the Random Forest and Decision Tree algorithms were best suited for the task, showing " the feasibility of detecting reconnaissance attacks in [industrial control system] environments."
LIMS Selection for Genomics Labs
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CloudLIMS @AACR Annual Meeting 2019, Atlanta, USA
CloudLIMS is excited to exhibit at the AACR Annual Meeting 2019, to be held at the Georgia World Congress, Center, Atlanta, USA, from March 29 - April 3, 2019. We are proud to showcase our cloud-based Clinical LIMS, CloudLIMS, at booth 4055, from March 31-April 3, 2019. To read the complete blog, please visit: https://cloudlims.com/blog/aacr2019.htmlSemantics for an integrative and immersive pipeline combining visualization and analysis of molecular data
The field of bioinformatics has really taken off over the past decade, and so with it has the number of data sources and the need for improved visualization tools, including in the realm of three-dimensional visualization of molecular data. As such, Trellet et al. have developed the infrastructure for "an integrated pipeline especially designed for immersive environments, promoting direct interactions on semantically linked 2D and 3D heterogeneous data, displayed in a common working space." The group discusses in detail bioinformatics ontologies and semantic representation of bioinformatics knowledge, as well as vocal-based query management with such a detailed system. They conclude their efforts towards their "pipeline might be a solid base for immersive analytics studies applied to structural biology," including the ability to propose "contextualized analysis choices to the user" during interactive sessions.
Laboratory Informatics Weekly Update – Volume 17, Issue 10
March 6, 2019 Laboratory Informatics Weekly Update Volume 17, Issue 10 In This Issue Upcoming Webinars 03/20/2019 - Webinar: A Trilogy on Using Machine Learning to Impute Laboratory Test Results04/02/2019 - Webinar: Data Quality & Efficiency in Laboratory Projects - Part 4: So Many Choices in Data Delivery, So Little Time! Journal Articles Semantics for an integrative and immersive pipeline combining visualization and analysis of molecular dataThe field of bioinformatics has really taken off over the past decade, and so with it has the number of data sources and the need for improved visualization tools, including in the realm…Tips for Maintaining Laboratory Data Security
On June 27th, 2017, a massive ransomware attack infiltrated computer systems and locked up files (via encryption) at companies around the world and government ministries in Ukraine. Merck & Co. was among those affected. Merck employees arrived in their offices in the morning to find a ransomware note on their computers with hackers demanding payment to release critical files.
Laboratory Informatics Weekly Update – Volume 17, Issue 9
February 27, 2019 Laboratory Informatics Weekly Update Volume 17, Issue 9 In This Issue Upcoming Webinars 03/05/2019 - Webinar: 2019 Healthcare Cybersecurity Risks: What You Need to Know03/13/2019 - Linking a Dashboard, LIMS, ELN and Project Management03/20/2019 - Webinar: A Trilogy on Using Machine Learning to Impute Laboratory Test Results Journal Articles A view of programming scalable data analysis: From clouds to exascaleFrom bioinformatics applications to social media research, the volume and velocity of data to manage continues to grow. Analysis of this massive faucet of data requires new ways of thinking, including new software, hardware, and programming tools.…A view of programming scalable data analysis: From clouds to exascale
From bioinformatics applications to social media research, the volume and velocity of data to manage continues to grow. Analysis of this massive faucet of data requires new ways of thinking, including new software, hardware, and programming tools. In this 2019 paper published in Journal of Cloud Computing, Domenico Talia of the University of Calabria in Italy presents a detailed look at exascale computing systems as a way to manage and analyze this river of data, including the use of cloud computing platforms and exascale programming systems. After a thorough discussion, the author concludes that while "[c]loud-based solutions for big data analysis tools and systems are in an advanced phase both on the research and the commercial sides," more work remains in the form of finding solutions to a number of design challenges, including on the data mining side of algorithms.









