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Showing 2605 to 2611 of 2611 entries
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Real-world evidence and product development: Opportunities, challenges and risk mitigation.

Wiener klinische Wochenschrift

Naidoo P, Bouharati C, Rambiritch V, Jose N, Karamchand S, Chilton R, Leisegang R.
PMID: 33837463
Wien Klin Wochenschr. 2021 Aug;133(15):840-846. doi: 10.1007/s00508-021-01851-w. Epub 2021 Apr 09.

Real-world evidence (RWE) is derived from real-world data (RWD) sources including electronic health records, claims data, registries (disease, product) and pragmatic clinical trials. The importance of RWE derived from RWD has been once again demonstrated during the coronavirus disease...

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Naidoo P, Bouharati C, Rambiritch V, et al. Real-world evidence and product development: Opportunities, challenges and risk mitigation. Wien Klin Wochenschr. 2021;133(15):840-846doi: 10.1007/s00508-021-01851-w.
Naidoo, P., Bouharati, C., Rambiritch, V., Jose, N., Karamchand, S., Chilton, R., & Leisegang, R. (2021). Real-world evidence and product development: Opportunities, challenges and risk mitigation. Wiener klinische Wochenschrift, 133(15), 840-846. https://doi.org/10.1007/s00508-021-01851-w
Naidoo, Poobalan, et al. "Real-world evidence and product development: Opportunities, challenges and risk mitigation." Wiener klinische Wochenschrift vol. 133,15 (2021): 840-846. doi: https://doi.org/10.1007/s00508-021-01851-w
Naidoo P, Bouharati C, Rambiritch V, Jose N, Karamchand S, Chilton R, Leisegang R. Real-world evidence and product development: Opportunities, challenges and risk mitigation. Wien Klin Wochenschr. 2021 Aug;133(15):840-846. doi: 10.1007/s00508-021-01851-w. Epub 2021 Apr 09. PMID: 33837463; PMCID: PMC8034870.
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Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Boon J, Ploem T, Simpson CS, Hermann I, Akcakaya M, Oei EH, Zadpoor AA, Tumer N, Piscaer TM, Tourais J, Weingartner S.
PMID: 34892045
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:3721-3724. doi: 10.1109/EMBC46164.2021.9630397.

Quantitative Magnetic Resonance Imaging (MRI) can enable early diagnosis of knee cartilage damage if imaging is performed during the application of load. Mechanical loading via ropes, pulleys and suspended weights can be obstructive and require adaptations to the patient...

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Boon J, Ploem T, Simpson CS, et al. Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:3721-3724doi: 10.1109/EMBC46164.2021.9630397.
Boon, J., Ploem, T., Simpson, C. S., Hermann, I., Akcakaya, M., Oei, E. H., Zadpoor, A. A., Tumer, N., Piscaer, T. M., Tourais, J., & Weingartner, S. (2021). Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 20213721-3724. https://doi.org/10.1109/EMBC46164.2021.9630397
Boon, Jaap, et al. "Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2021 (2021): 3721-3724. doi: https://doi.org/10.1109/EMBC46164.2021.9630397
Boon J, Ploem T, Simpson CS, Hermann I, Akcakaya M, Oei EH, Zadpoor AA, Tumer N, Piscaer TM, Tourais J, Weingartner S. Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:3721-3724. doi: 10.1109/EMBC46164.2021.9630397. PMID: 34892045.
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Patient-reported outcome measures for patients with hand-specific impairments-A scoping review.

Journal of hand therapy : official journal of the American Society of Hand Therapists

Woythal L, Comins JD, Brorson S.
PMID: 33139124
J Hand Ther. 2021 Oct-Dec;34(4):594-603. doi: 10.1016/j.jht.2020.08.003. Epub 2020 Aug 26.

BACKGROUND: Patient-reported outcome measures (PROMs) are increasingly used to provide evidence for treatment effects and to guide rehabilitation. To our knowledge, no disease-specific PROM exists for the assessment of patients with flexor tendon lesions of the hand. We believe...

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Woythal L, Comins JD, Brorson S. Patient-reported outcome measures for patients with hand-specific impairments-A scoping review. J Hand Ther. 2020;34(4):594-603doi: 10.1016/j.jht.2020.08.003.
Woythal, L., Comins, J. D., & Brorson, S. (2021). Patient-reported outcome measures for patients with hand-specific impairments-A scoping review. Journal of hand therapy : official journal of the American Society of Hand Therapists, 34(4), 594-603. https://doi.org/10.1016/j.jht.2020.08.003
Woythal, L, et al. "Patient-reported outcome measures for patients with hand-specific impairments-A scoping review." Journal of hand therapy : official journal of the American Society of Hand Therapists vol. 34,4 (2021): 594-603. doi: https://doi.org/10.1016/j.jht.2020.08.003
Woythal L, Comins JD, Brorson S. Patient-reported outcome measures for patients with hand-specific impairments-A scoping review. J Hand Ther. 2021 Oct-Dec;34(4):594-603. doi: 10.1016/j.jht.2020.08.003. Epub 2020 Aug 26. PMID: 33139124.
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A New Approach to Assessing Children's Interpretation of Severity Qualifiers in a Multi-Attribute Utility Instrument-The EQ-5D-Y-5L: Development and Testing.

The patient

Derrett S, Herdman M, Ngwira LG, Moore EY, Jelsma J.
PMID: 33650034
Patient. 2021 Sep;14(5):591-600. doi: 10.1007/s40271-021-00496-1. Epub 2021 Mar 02.

INTRODUCTION: The beta EQ-5D-Y-5L is a new patient-reported outcome measure (PROM) for children aged 8-15 years that is currently under development by the EuroQol Group. The EQ-5D-Y-5L is similar to the EQ-5D-Y but has five levels of severity per...

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Derrett S, Herdman M, Ngwira LG, et al. A New Approach to Assessing Children's Interpretation of Severity Qualifiers in a Multi-Attribute Utility Instrument-The EQ-5D-Y-5L: Development and Testing. Patient. 2021;14(5):591-600doi: 10.1007/s40271-021-00496-1.
Derrett, S., Herdman, M., Ngwira, L. G., Moore, E. Y., & Jelsma, J. (2021). A New Approach to Assessing Children's Interpretation of Severity Qualifiers in a Multi-Attribute Utility Instrument-The EQ-5D-Y-5L: Development and Testing. The patient, 14(5), 591-600. https://doi.org/10.1007/s40271-021-00496-1
Derrett, Sarah, et al. "A New Approach to Assessing Children's Interpretation of Severity Qualifiers in a Multi-Attribute Utility Instrument-The EQ-5D-Y-5L: Development and Testing." The patient vol. 14,5 (2021): 591-600. doi: https://doi.org/10.1007/s40271-021-00496-1
Derrett S, Herdman M, Ngwira LG, Moore EY, Jelsma J. A New Approach to Assessing Children's Interpretation of Severity Qualifiers in a Multi-Attribute Utility Instrument-The EQ-5D-Y-5L: Development and Testing. Patient. 2021 Sep;14(5):591-600. doi: 10.1007/s40271-021-00496-1. Epub 2021 Mar 02. PMID: 33650034; PMCID: PMC8357732.
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Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems.

Sensors (Basel, Switzerland)

Naeem M, De Pietro G, Coronato A.
PMID: 35009848
Sensors (Basel). 2021 Dec 31;22(1). doi: 10.3390/s22010309.

The current wireless communication infrastructure has to face exponential development in mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems and their variants (i.e., Multi-User MIMO and Massive MIMO) are the most promising 5G...

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Naeem M, De Pietro G, Coronato A. Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems. Sensors (Basel). 2021;22(1)doi: 10.3390/s22010309.
Naeem, M., De Pietro, G., & Coronato, A. (2021). Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems. Sensors (Basel, Switzerland), 22(1), . https://doi.org/10.3390/s22010309
Naeem, Muddasar, et al. "Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems." Sensors (Basel, Switzerland) vol. 22,1 (2021). doi: https://doi.org/10.3390/s22010309
Naeem M, De Pietro G, Coronato A. Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems. Sensors (Basel). 2021 Dec 31;22(1). doi: 10.3390/s22010309. PMID: 35009848.
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Ultra-High-Resolution IonStar Strategy Enhancing Accuracy and Precision of MS1-Based Proteomics and an Extensive Comparison with State-of-the-Art SWATH-MS in Large-Cohort Quantification.

Analytical chemistry

Wang X, Jin L, Hu C, Shen S, Qian S, Ma M, Zhu X, Li F, Wang J, Tian Y, Qu J.
PMID: 33687211
Anal Chem. 2021 Mar 23;93(11):4884-4893. doi: 10.1021/acs.analchem.0c05002. Epub 2021 Mar 09.

Quantitative proteomics in large cohorts is highly valuable for clinical/pharmaceutical investigations but often suffers from severely compromised reliability, accuracy, and reproducibility. Here, we describe an ultra-high-resolution IonStar method achieving reproducible protein measurement in large cohorts while minimizing the ratio...

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Wang X, Jin L, Hu C, et al. Ultra-High-Resolution IonStar Strategy Enhancing Accuracy and Precision of MS1-Based Proteomics and an Extensive Comparison with State-of-the-Art SWATH-MS in Large-Cohort Quantification. Anal Chem. 2021;93(11):4884-4893doi: 10.1021/acs.analchem.0c05002.
Wang, X., Jin, L., Hu, C., Shen, S., Qian, S., Ma, M., Zhu, X., Li, F., Wang, J., Tian, Y., & Qu, J. (2021). Ultra-High-Resolution IonStar Strategy Enhancing Accuracy and Precision of MS1-Based Proteomics and an Extensive Comparison with State-of-the-Art SWATH-MS in Large-Cohort Quantification. Analytical chemistry, 93(11), 4884-4893. https://doi.org/10.1021/acs.analchem.0c05002
Wang, Xue, et al. "Ultra-High-Resolution IonStar Strategy Enhancing Accuracy and Precision of MS1-Based Proteomics and an Extensive Comparison with State-of-the-Art SWATH-MS in Large-Cohort Quantification." Analytical chemistry vol. 93,11 (2021): 4884-4893. doi: https://doi.org/10.1021/acs.analchem.0c05002
Wang X, Jin L, Hu C, Shen S, Qian S, Ma M, Zhu X, Li F, Wang J, Tian Y, Qu J. Ultra-High-Resolution IonStar Strategy Enhancing Accuracy and Precision of MS1-Based Proteomics and an Extensive Comparison with State-of-the-Art SWATH-MS in Large-Cohort Quantification. Anal Chem. 2021 Mar 23;93(11):4884-4893. doi: 10.1021/acs.analchem.0c05002. Epub 2021 Mar 09. PMID: 33687211.
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Validity of Domain-Specific Sedentary Time Using Accelerometer and Questionnaire with activPAL Criterion.

International journal of environmental research and public health

So R, Matsuo T.
PMID: 34886498
Int J Environ Res Public Health. 2021 Dec 03;18(23). doi: 10.3390/ijerph182312774.

Accelerometers based on the cut-point method are generally the most used in sedentary time (ST) research. However, mixed cut-points are an issue, so an accelerometer based on metabolic equivalents (METs) could be used as an alternative. This study aimed...

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So R, Matsuo T. Validity of Domain-Specific Sedentary Time Using Accelerometer and Questionnaire with activPAL Criterion. Int J Environ Res Public Health. 2021;18(23)doi: 10.3390/ijerph182312774.
So, R., & Matsuo, T. (2021). Validity of Domain-Specific Sedentary Time Using Accelerometer and Questionnaire with activPAL Criterion. International journal of environmental research and public health, 18(23), . https://doi.org/10.3390/ijerph182312774
So, Rina, and Matsuo, Tomoaki. "Validity of Domain-Specific Sedentary Time Using Accelerometer and Questionnaire with activPAL Criterion." International journal of environmental research and public health vol. 18,23 (2021). doi: https://doi.org/10.3390/ijerph182312774
So R, Matsuo T. Validity of Domain-Specific Sedentary Time Using Accelerometer and Questionnaire with activPAL Criterion. Int J Environ Res Public Health. 2021 Dec 03;18(23). doi: 10.3390/ijerph182312774. PMID: 34886498; PMCID: PMC8656956.
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Showing 2605 to 2611 of 2611 entries