Findings indicate the importance of improving approaches to integrate patient features and biomarkers of response with selection of therapeutics.
Among the racially/ethnically diverse SPS3 participants, important differences in patient features and vascular risk factors could influence prognosis for recurrent stroke and response to interventions.
In cancer, where large variations among patient features leave gaps in traditional forms of medical evidence, the potential impact of a RLS is particularly promising.
Three sets of patient features are used to train the decision support system and one set of patient feature are used to evaluate performance of the system.
Nevertheless, to date the selection criteria for DBS-specifically in terms of patient features (severity and nature of symptoms, age, time of evolution, or any other demographic or disease aspects --have not been aspects --havesystemaspects --have
Due to the life-threatening consequences that a failed tracheal intubation entails, many efforts have been made to identify specific patient features, which may predict difficulty during tracheal intubation.
The main baseline patient features are reported in Table 1.
In this paper, we investigate whether the predictive power of a survival model based on clinical patient features improves when MRI features are also included in the model.
Achieving personalized solutions tailored to each unique combination of patient features is the goal of precision medicine [23 27] (Fig. 1).
CT has some advantages compared to MRI in that patient features such as pacemakers pose no problem and intravascular stents including those made of steel are well assessed.
Specific risk factors include patient features (such as obesity, diabetes, malnutrition, advanced ages, steroid use, history of radiation and bacterial vaginosis) and operation-related factors including prolonged duration, blood loss and staple closure.
