Per-protocol analysis excludes noncompliant clinical trial participants' data. Mixing per-protocol with other analyses gives a clearer intervention picture. Regulators typically reject sole ...

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Quantitative polymerase chain reaction (qPCR) is a molecular technique that has reshaped the landscape of biological research and medicine due to its high sensitivity and specificity. qPCR, also known ...

Demographic data associated with Brandeis community members are collected and stored across numerous systems. This protocol ensures that standards are in place for the secure, accurate and consistent ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. For the next four years, big data analytics is expected to be ...

Itheum on Walrus set to power the next generation of AI and music data economies. Itheum, a data tokenization protocol for humans and AI agents, has partnered with Walrus to enable the secure storage ...

Connectivity is becoming a bottleneck in the age of AI. To unclog the interconnects between processors, accelerators, and memory, high-speed serial interfaces based on the PCIe Gen 6 bus are in the ...

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 ...

Microsoft Excel’s Data Analysis Toolpak is an invaluable add-in for those who require complex statistical or engineering analyses. This powerful feature allows users to execute a variety of data ...