Data Science: is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, similar to data mining. Data science is a concept to unify statistics, data analysis, machine learning and their related methods in order to understand and analyze actual phenomena with data. It uses various techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.
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Diagnostics have never been more important or visible on the world stage as they are today in the midst of the COVID-19 global pandemic. Mara will speak about how COVID diagnostics have been...
According to published literature, up to 65% of errors occur in the preanalytical phase of laboratory testing, and coagulation assays are particularly sensitive to preanalytical issues......
Date: April 28, 2022 Time: 9:00am (PDT), 12:00pm (EDT), 6:00pm (CET) During previous webinars we have discussed the global impact of antimicrobial resistance (AMR) infections, explored biolo...
Date: April 26, 2022 Time: 11:00am (PDT), 2:00pm (EDT), 8:00pm (CEST) Balance between spatial resolution, temporal resolution, and sample viability is key to extracting more data from your i...
Date: April 19, 2022 Time: 7:00am (PDT), 10:00am (EDT), 4:00pm (CEST) High-content (HC) phenotypic profiling approaches are a powerful tool to study the effect of biological, genetic, and ch...
The Patient is Bleeding: Balancing Clinical and Laboratory Needs Coagulopathy in the bleeding surgical patient can get worse by the second! One of the real-world operational challenges......
APR 19, 2022 | 1:30 PM
C.E. CREDITS
Regardless of method, single cell RNA-seq only captures a small fraction of the transcriptome of each cell. Often, this is due to inherent limitations of the methodology as reads ‘drop...
Revolutionary sequencing technologies are enabling whole transcriptome profiling of tens to hundreds of thousands of single cells in parallel, in a single experiment. This has led to an expl...
Learning Objectives: 1. Discuss the potential for newborn screening by whole genome sequencing. 2. Review the current evidence for the sensitivity and specificity of newborn screening by who...