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In our research project STructured Evaluated Personalized Patient Support (STEPPS), we are investigating the potential of a novel strategy for personalized or tailored patient education, based on the integration of electronic patient record data and material derived from online health information resources.
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More recently, patient-specific xenografts, which replicate features of individual patient tumours, have been developed to evaluate personalized treatment options (Rubio-Viqueira et al., 2006; Shu et al., 2008; Siolas and Hannon, 2013).
Across these four phases, research studies evaluate personalized genomics using the "ACCE" framework: analytic validity, clinical validity, clinical utility, and ethical, legal, and social implications (Haddow and Palomaki 2004).
The purpose of this study was to evaluate a personalized orthognathic surgical guide (POSG) system for bimaxillary surgery without the use of surgical splint.
Therefore, it is essential that the oncology community uses appropriate analytical methods for identifying and evaluating the performance of personalized treatment rules.
The search process returns a fully personalized match and evaluates the patient's eligibility for each suggested treatment within minutes, according to Galil. .
The specificity of the cellular miRNA repertoire and its sensitivity to a large panel of intra/extracellular stimuli and characteristics (including gender and age) have stimulated interest not only in basic research focused on deciphering the contribution of miRNAs to cancer development, but also in more applied research aimed at evaluating miRNAs' potential in cancer personalized medicine.
Facing the ever increasing challenge of the information overload content providers have to focus on new ways in user-centered retrieval, not only providing tools for searching information, but tools for personalizing, managing, evaluating and working with the returned search results.
Item recommendation evaluates the capacity of the system to generate personalized rankings of suggestions.
However, our method is not limited to evaluating non-personalized recommendation algorithms, but can be applied to any recommendation algorithms including personalized instances.
Thus, evaluating proliferative activity of myeloma cells is important for predicting the prognosis and determining personalized treatment strategies.
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CEO of Professional Science Editing for Scientists @ prosciediting.com