256) ation gain, transparency, pragmatism, and patient-centeredness of the research. |
257) ues to identify clusters in the unlabeled patient or treatment data. |
258) However, identifying specific patient or treatment-related factors which |
259) ucational outcomes, including behavioral, patient-level, or systems-level changes. |
260) e reasons for this are discussed from the patient perspective, of which there is lit |
261) Lastly, from a provider and patient perspective, while both saw benefi |
262) We demonstrate that from a patient-centered perspective, subjects are |
263) ing predictions for tumor progression and patient prognosis for a variety of tumor t |
264) e pancreatic ductal adenocarcinoma (PDAC) patient prognosis. |
265) gene signature is associated with poor UM patient prognosis. |
266) mbined aspects of COVID-19, telemedicine, patient satisfaction, and key concepts of |
267) ving with HIV (PLWH), cost effectiveness, patient satisfaction, and patient-reported |
268) re for a positive impact on quality care, patient satisfaction, the overall success |
269) rs which we used to develop a pre-emptive patient stratification protocol to identif |
270) is increasingly being used for predictive patient stratification. |
271) ting of multiple diseases, is crucial for patient stratification. |
272) al radioembolization with yttrium-90 in a patient who experienced HCC recurrence fol |
273) nt as the monogenic cause of disease in a patient who presented, from the age of 2 |
274) A 19-year-old male patient, who had been treated for bilatera |
275) n of the growth of tumor models including patient-derived xenograft (PDX) tumors. |
276) ancer development in both spontaneous and patient-derived xenograft breast cancer mo |
277) The results are further validated in patient-derived xenograft models, indicati |
278) sequencing (RNA-seq) profiles from intra-patient cell line pairs derived from 3 HGS |
279) ed protein in vitro and in unfractionated patient cell samples. |
280) vailability, long-term effectiveness, and patient choice after extensive counseling, |
281) Surgical risk and patient choice can be contraindications to |
282) IP)" payment, is based on a deterministic patient classification approach, which gro |
283) ovider behaviors, China developed a novel patient classification with global budget |
284) diagnosis and treatment by identifying a patient's condition and disease course and |
285) The patient's condition worsened clinically, a |
286) The total mean per-patient costs of care for women with and w |
287) The total mean per-patient costs of care for women with and w |
288) Data collection included: patient demographics, comorbidities, surgi |
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