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Here we discuss how integrating physical approaches and engineering principles in stem cell biology, including culture systems, preclinical models, and functional assessment, may improve clinical application in regenerative medicine.
Multiregion assessment may improve the precision of this biomarker.
The incorporation of gene-environment information into risk assessment may improve regulatory efforts to safeguard the health of vulnerable populations.
This kind of assessment may improve physical therapy practice by guiding the understanding of muscular impairments associated with posture alterations and in the selection of therapeutic exercises to improve posture.
With respect to the traditional visual interpretation of HRCT lung findings, the automatic computer-based assessment may improve the objectivity, sensitivity, and repeatability of quantitative changes in the lung features.
The implication of this study for patient care is that addition of CTTA to standard response assessment may improve the prediction of response to tyrosine kinase inhibitors in metastatic renal cell carcinoma.
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Objective psychomotor assessments may improve classification, longitudinal monitoring, treatment selection, and prediction of outcome in patients with depression.
Increased harmonization of the assessment procedure may improve the overall process.
The inclusion of gene-environment interaction in risk assessment models may improve efforts to safeguard vulnerable populations.
When specific risks are identified and dealt with in individual patients with, for example, a comprehensive geriatric assessment, outcomes may improve.
Measurement of biomarkers in cord blood improves exposure assessment and may improve our understanding of biological mechanisms during this critical window of exposure and vulnerability (Wild and Kleinjans 2003).
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