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In agile organizations AI and machine learning can only be effective as the underpinning data landscape.
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation.
Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production?
where neuronOS facilitates core processes
It is essential for compliance with Good Laboratory Practices regulations that a clear understanding of RAW DATA is established and maintained in laboratory records, as RAW DATA is found in various formats and versions in a large number of laboratory devices, LIMS, and quality management systems. Professional handling and full traceability of RAW DATA throughout its life cycle are crucial for lab control and overall compliance in the drug development process.
The non-clinical development phase is an essential element of drug development, designed to identify which candidate therapy is likely to succeed and assess its safety before it comes to testing humans. Beginning in parallel with research activities, non-clinical testing is conducted throughout the entire development process in order to assess the drug's safety profile, pharmacokinetic and toxicokinetic characteristics.
Archiving is the process of securely storing inactive or historical information, in any format, for long-term retention. This stored information may be vital to organizations in the future, providing documentation, explanation and justification for past and present submissions. And for researchers, that means being aware of the importance of archiving for regulatory compliance and being able to utilize it as part of their strategy.
