|  In this 2018 paper by Murtagh and Devlin, a historical and professional perspective on data science and how collaborative work across multiple disciplines is increasingly common to data science. This "convergence and bridging of disciplines" strengthens methodology transfer and collaborative effort, and the integration of data and analytics guides approaches to data management. But education, research, and application challenges still await data scientists. The takeaway for the authors is that "the importance is noted of how data science builds collaboratively on other domains, potentially with innovative methodologies and practice,"
 Scientists everywhere nod to the power of big data but are still left to develop tools to manage it. This is just as true in the field of agriculture, where practitioners of precision agriculture are still developing tools to do their work better. Leroux et al. have been developing their own solution, GeoFIS, to better handle geolocalized data visualization and analysis. In this 2018 paper, they use three case studies to show off how GeoFIS visualizes data, processes it, and incorporates associated data (metadata and industry knowledge) for improved agricultural outcomes. They conclude that the software fills a significant gap while also promoting the adoption of precision agriculture practices. |  This recorded Lab Informatics Tutorial series is designed as a management level view of laboratory systems and is appropriate for anyone planning, reviewing, or approving the acquisition of laboratory informatics. A background in science is not necessary to follow the presented material. Its purpose is to provide you with an understanding of how these technologies (Laboratory Information Management Systems, Electronic Laboratory Notebooks, Scientific Data Management Systems, Laboratory Execution Systems, Instrument Data Systems, and supporting technologies ) can be used to support/improve your labs operations, and the considerations that need to be taken into account before they are purchased. |  |  Understanding the role DNA plays in living creatures was the trigger for incredible scientific development that furthered analysis and interaction with life’s blueprint to help improve the human condition. Decoding the genomic sequence of single individuals allows detection of personal disease risk factors and the development of personalized treatment [1]. High throughput sequencing techniques are increasingly in demand and Next Generation Sequencing (NGS)is the latest achievement in this field [2].
Toxicolology reference laboratories get excited about increases in volume of samples or specimens being screened by their laboratories. And they absolutely should – after all, laboratories are dependent on testing samples as their only source of income. However, it is important to note that “more” does not always equate to“better”. Why? Because from a reimbursement standpoint, not all samples are created equal.
As a company which actively maximizes revenue for toxicology reference laboratories, we have witnessed a wide variety of billing and reimbursement scenarios over the past few years. Many of these scenarios are proper, but a large portion are either the result of not knowing any better, or worse yet, the result of knowingly false billing practices. The later scenarios can place your toxicology laboratory and all of your hard work at tremendous risk. |
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Unified Government of Wyandotte County and Kansas City, KS R28270 - Laboratory Information Management System
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