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chromatography coupled to ICP-MS in the context of preserving and quantifying chemical species in fresh-frozen reference materials, and (3) development of instrumentation and validation strategies that improve
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techniques such as liquid chromatography coupled to ICP-MS in the context of preserving and quantifying chemical species in fresh-frozen reference materials, and (3) development of instrumentation and
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systems, such as cells, engineered to sense and respond in programmed ways. Importantly, building these systems both requires and advances meaningful quantitation of the effects of environmental context and
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of those interactions and their effect on the biological system is enabled through massive integration of data–experimental and theoretical. Systems biology in a clinical context is called systems medicine
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techniques such as liquid chromatography coupled to ICP-MS in the context of preserving and quantifying chemical species in fresh-frozen reference materials, and (3) development of instrumentation and
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resulting in persistent microscopic and nanoscale particles that can enter the food chain. There is a growing public awareness of the potential risks associated with these materials and an increasing focus
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machine tools that are self-aware via on-machine measurements and diagnostics, to track the machine’s performance health. Furthermore, solutions must be non-invasive, data-rich, inexpensive, and accurate
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quantitation of the effects of environmental context and evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and
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to develop novel machine-learning frameworks that integrate multiple AI paradigms to enhance situational awareness, operational effectiveness, and firefighter safety in three crucial research areas: 1
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, are attempting to expedite discovery by applying modern computational methods to identification and characterization of novel material systems. In this context, the NIST/TRC Group is building capabilities in