Conceptual basis, importance and bandwidth of variables, reliability and statistical properties, data and skill requirements, data quality and archiving, robustness under technology change, and cost/benefit issues are factors in indicator design.
Although URSA can eventually be re-trained to better fit growing next-generation sequencing data, its robustness across platforms and technologies demonstrates URSA's promise to remain applicable and relevant to emerging experimental approaches and data processing methods.
To enhance the clinical robustness and further harness MLPA technology for routine laboratory operations, we have developed and validated a protocol for comprehensive, automatic data analysis and interpretation.
These efforts, however, need continuous validation of reliability, robustness and reproducibility of the technology being employed.
Instead, it says it will "conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability and robustness of the technology".
The robustness and effectiveness of the proposed technology were established by comparing its performance with the conventional optical technology (laser intensity response, LIR), while, the MDR technology had the advantage of detecting the nucleation in optically opaque solution compared to LIR.
High similarity between two replicates (Pearson correlation coefficient = 0.99) indicates minimum sequencing batch effect, hence the robustness and accuracy of our sequencing technology.
As the opportunity for large-scale molecular profiling of tissues from women with endometriosis advances with ever increasing sensitivity and robustness of technologies at ever decreasing costs the need for case and control/comparison data sets with available biological samples relevant to the disease, and collected using standard protocols, is obvious.
The commitments made by the science and technology stakeholder group in the third WCDRR lack robustness and, unfortunately, are not accompanied with measurable targets.
But while delegation to web services, including Wolfram|Alpha QA, or chatbot technology provides considerable robustness, and there is significant reasoning about schedules, purchasing and other targeted services, general understanding is still very shallow, as users soon discover.
