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

Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise.

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 ...

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 ...

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 ...

Background Data-sharing mandates from funders and journals have increased in recent years, but little is known about how shared data are used. Existing research has focused on access frameworks, with ...

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 ...

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 ...

Objective To assess whether post-authorisation studies registered with the European Medicines Agency (EMA) adhere to legislation and recommendations to publicly post study protocols and results.

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 ...