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1 biological insights and biomarkers to guide patient monitoring.
2 to improve the ease, frequency, and depth of patient monitoring.
3 ariables have the potential to revolutionize patient monitoring.
4 g, assuming appropriate device selection and patient monitoring.
5 urements are used for glaucoma diagnosis and patient monitoring.
6 (TM) is easier to perform and allows easier patient monitoring.
7 without increasing the overall frequency of patient monitoring.
8 ssays in the context of drug development and patient monitoring.
9 is essential for both diagnosis and ongoing patient monitoring.
10 ation in the context of drug development and patient monitoring.
11 therapy improves outcomes and requires close patient monitoring.
12 re routinely acquired for health studies and patient monitoring.
13 future mechanistic studies and reproducible patient monitoring.
14 s in plasma EVs may aid cancer detection and patient monitoring.
15 quipment that had to be reused on uncohorted patients; monitoring adherence to infection control prec
16 e is known about the role of oscillometry in patient monitoring after a transplant.Objectives: To cha
17 -effective and is a recommended strategy for patient monitoring, although further empirical evidence
19 lassification system is positioned to inform patient monitoring and care and, for the first time to o
21 analysis of CTC shows promise for real-time patient monitoring and clinical outcome prediction in th
23 sults support the use of the iBox to improve patient monitoring and facilitate clinical trials in chi
25 lopment of clinical programs, such as remote patient monitoring and management, may represent potenti
26 ing this physiology may facilitate long-term patient monitoring and pharmacological management to mit
27 rge laboratories, resulting in low access to patient monitoring and poor personalized treatments.
28 on edge computing to reduce response time in patient monitoring and provide a reliable method for int
29 IV testing, ART delivery and adherence, good patient monitoring and support, and data to monitor prog
30 ebleeding, underscoring the need for careful patient monitoring and targeted intervention in these ca
33 reduce the risk of first recurrence in NMBIC patients, monitoring and preserving their renal function
34 ists, preoperative and sedative medications, patient monitoring, and airway endoscopic techniques, as
36 value in terms of risk assessment, continued patient monitoring, and for therapeutic decision-making.
37 ent, enabling timely interventions, improved patient monitoring, and mitigating adverse outcomes.
40 and translational insights for trial design, patient monitoring, and reliable detection of disease pr
42 roved algorithms for identifying RV failure, patient monitoring, and weaning protocols for both isola
44 r use of one assay platform for longitudinal patient monitoring, but the data also reinforce the noti
45 rdized TM SMWT is feasible and allows easier patient monitoring, but there is a statistically signifi
46 ealthcare has the potential to revolutionize patient monitoring by providing accurate, real-time loca
47 spent 70%, 3%, 3%, and 24% of their time on patient monitoring, collaboration, system maintenance, a
48 raction with LSTM for sequential analysis of patient monitoring data, including two types of immune d
50 ase, may make these agents ideal for staging patients, monitoring disease pretherapy or posttherapy,
51 I 12-lead ECGs, providing a means to enhance patient monitoring during MR imaging and MR-guided inter
52 al care, provided that there is a continuous patient monitoring during the infusion, staff training o
53 critical care, provided there is continuous patient monitoring during the infusion, staff training o
54 ry processes in NP states and may facilitate patient monitoring during therapeutic trials related to
56 to monitor activity and vital signs), remote patient monitoring (eg, environmental exposures and medi
57 mens, utility of the electroencephalogram in patient monitoring, emerging drug therapies and patient
59 termination prediction to enable pro-active patient monitoring for improved patient retention; (c) m
63 aims data to assess trends in general remote patient monitoring from January 2018 through September 2
64 h care providers and pharmacy certification, patient monitoring (from Patient Status Forms, based par
65 gether with an increased awareness of remote patient monitoring, has accelerated the impact of digita
72 lth, telemedicine, mobile health, and remote patient monitoring), Internet access, and cellular techn
75 tation, early antibiotic administration, and patient monitoring is limited by lack of supplies and sk
77 methods hold great potential for stratifying patients, monitoring MS progression, and determining the
78 receive home-based care, which consisted of patient monitoring of blood pressure, home visits from a
79 ensitive, information-rich assays that allow patient monitoring of immune responses, tumor regression
80 -harm but underscore the necessity for close patient monitoring of self-harm throughout the gabapenti
83 starts <1 month after diagnosis) and remote patient monitoring on glycemia in young people with newl
86 th patient care (appropriate prescribing and patient monitoring), patient behavior (adherence), and c
87 ults, we further study the optimal length of patient monitoring periods for different prediction hori
90 are highly relevant for such applications as patient monitoring, proper use of therapeutic guidelines
93 Current guidelines recommend using remote patient monitoring (RPM) for implantable cardioverter-de
94 lantable defibrillators (ICD), use of remote patient monitoring (RPM) is associated with lower risk o
95 ed the association between the use of remote patient monitoring (RPM) of implantable cardioverter def
96 Health care systems have implemented remote patient monitoring (RPM) programs to manage patients wit
98 (eg, clinical services, adherence services, patient monitoring services) and clinic characteristics
99 very (clinical services, adherence services, patient monitoring services, e.g.) and clinic characteri
101 ltiancestry samples of individuals from a UK patient monitoring system, CLOZUK2 (n = 3133) and CLOZUK
102 research have included intelligent agents in patient monitoring systems by integrating blockchain tec
103 lored for the purpose of facilitating remote patient monitoring systems within the context of a 5G en
104 he design of remote telemetry work and other patient monitoring tasks in critical and intermediate ca
105 f clinically useful management platforms for patient monitoring that can be integrated into health ca
107 digital medicine is the promise of improved patient monitoring to allow assessment and personalized
108 farction, from diagnosis and misdiagnosis to patients' monitoring, treatment, and potential complicat
109 nitiate therapy, choice of initial regimens, patient monitoring, when to change therapy, and how best
110 , selection of appropriate initial regimens, patient monitoring, when to change therapy, and what reg
111 ial, FT screening as part of routine digital patient monitoring with PROs reduced the development, or