The Tuesday after spring break, students from Purdue University’s Computational Social Science Lab eagerly gathered in the Joe and Maggie Kernan Social Science Research Lab on Beering Hall’s second ...
Medical laboratories already drive more than 70 percent of clinical decisions,i but they should be driving more decisions across the healthcare ecosystem. Having more touch points with patients than ...
Informatics solutions such as Electronic Lab Notebooks (ELN) and LIMS systems (Laboratory Information Management System or LIS) may be insufficient to manage this amount of data, leading to ...
Expert Intelligence aims to automate the interpretation of lab data in settings compliant with ‘good practices’ guidelines ...
Quest Diagnostics Incorporated DGX has been granted a contract by the Centers for Disease Control and Prevention (CDC) to conduct testing and provide laboratory data analysis to help detect patterns ...
Background International guidelines recommend percutaneous coronary intervention within 120 min for high-risk acute coronary syndrome. In Indonesia, a sprawling archipelago with a rising ...
In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...
Just after Christmas 2023, a chemist at the state public health laboratory admitted to her bosses that she had manipulated test results. In the coming weeks her supervisors at the Colorado Department ...
Ever wondered how some data analysts seem to effortlessly turn raw data into actionable insights while others struggle to make sense of it all? The secret lies in mastering the right tools and ...
Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...