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Practice patterns surrounding referral to a specialty venous thromboembolism (VTE) clinic: a retrospective review.

Journal of thrombosis and thrombolysis

Landry S, Ip S, Shiu J, Bungard TJ.
PMID: 34146236
J Thromb Thrombolysis. 2021 Jun 19; doi: 10.1007/s11239-021-02503-6. Epub 2021 Jun 19.

This study audited prescribing practices for patients with acute venous thromboembolism (VTE) prior to and after being seen in an outpatient VTE clinic. This retrospective chart review conducted between June 2018 through May 2019 included patients with confirmed acute...

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Landry S, Ip S, Shiu J, et al. Practice patterns surrounding referral to a specialty venous thromboembolism (VTE) clinic: a retrospective review. J Thromb Thrombolysis. 2021;doi: 10.1007/s11239-021-02503-6.
Landry, S., Ip, S., Shiu, J., & Bungard, T. J. (2021). Practice patterns surrounding referral to a specialty venous thromboembolism (VTE) clinic: a retrospective review. Journal of thrombosis and thrombolysis, . https://doi.org/10.1007/s11239-021-02503-6
Landry, Sarah, et al. "Practice patterns surrounding referral to a specialty venous thromboembolism (VTE) clinic: a retrospective review." Journal of thrombosis and thrombolysis vol. (2021). doi: https://doi.org/10.1007/s11239-021-02503-6
Landry S, Ip S, Shiu J, Bungard TJ. Practice patterns surrounding referral to a specialty venous thromboembolism (VTE) clinic: a retrospective review. J Thromb Thrombolysis. 2021 Jun 19; doi: 10.1007/s11239-021-02503-6. Epub 2021 Jun 19. PMID: 34146236.
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Impact of a see-and-treat melanoma clinic on patient experience.

The Journal of dermatological treatment

Ip KH, Agnew K, Cranshaw I, Ng A, Chandran A.
PMID: 33792467
J Dermatolog Treat. 2021 Apr 01;1-3. doi: 10.1080/09546634.2021.1905767. Epub 2021 Apr 01.

BACKGROUND: See-and-treat ('one stop') clinics for cutaneous and noncutaneous tumor streams have been shown to enhance patient experience, amongst other benefits, such as reduced waiting time to surgery if required. To date, there have been no studies assessing patient...

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Ip KH, Agnew K, Cranshaw I, et al. Impact of a see-and-treat melanoma clinic on patient experience. J Dermatolog Treat. 2021;1-3doi: 10.1080/09546634.2021.1905767.
Ip, K. H., Agnew, K., Cranshaw, I., Ng, A., & Chandran, A. (2021). Impact of a see-and-treat melanoma clinic on patient experience. The Journal of dermatological treatment, 1-3. https://doi.org/10.1080/09546634.2021.1905767
Ip, Ken Hiu-Kan, et al. "Impact of a see-and-treat melanoma clinic on patient experience." The Journal of dermatological treatment vol. (2021): 1-3. doi: https://doi.org/10.1080/09546634.2021.1905767
Ip KH, Agnew K, Cranshaw I, Ng A, Chandran A. Impact of a see-and-treat melanoma clinic on patient experience. J Dermatolog Treat. 2021 Apr 01;1-3. doi: 10.1080/09546634.2021.1905767. Epub 2021 Apr 01. PMID: 33792467.
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Changes in metabolites with harvest times of seedlings of various Korean oat (Avena sativa L.) cultivars and their neuraminidase inhibitory effects.

Food chemistry

Woo SY, Yang JY, Lee H, Ahn HJ, Lee YB, Do SH, Kim JY, Seo WD.
PMID: 34731801
Food Chem. 2022 Mar 30;373:131429. doi: 10.1016/j.foodchem.2021.131429. Epub 2021 Oct 20.

Oats and their seeds, stems, and leaves are approved for use as safe food ingredients. Oat seedlings are environmentally friendly and are becoming increasingly popular as they provide several health benefits. We used the UPLC-CAD to quantitatively analyze isolated...

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Woo SY, Yang JY, Lee H, et al. Changes in metabolites with harvest times of seedlings of various Korean oat (Avena sativa L.) cultivars and their neuraminidase inhibitory effects. Food Chem. 2021;373:131429doi: 10.1016/j.foodchem.2021.131429.
Woo, S. Y., Yang, J. Y., Lee, H., Ahn, H. J., Lee, Y. B., Do, S. H., Kim, J. Y., & Seo, W. D. (2022). Changes in metabolites with harvest times of seedlings of various Korean oat (Avena sativa L.) cultivars and their neuraminidase inhibitory effects. Food chemistry, 373131429. https://doi.org/10.1016/j.foodchem.2021.131429
Woo, So-Yeun, et al. "Changes in metabolites with harvest times of seedlings of various Korean oat (Avena sativa L.) cultivars and their neuraminidase inhibitory effects." Food chemistry vol. 373 (2022): 131429. doi: https://doi.org/10.1016/j.foodchem.2021.131429
Woo SY, Yang JY, Lee H, Ahn HJ, Lee YB, Do SH, Kim JY, Seo WD. Changes in metabolites with harvest times of seedlings of various Korean oat (Avena sativa L.) cultivars and their neuraminidase inhibitory effects. Food Chem. 2022 Mar 30;373:131429. doi: 10.1016/j.foodchem.2021.131429. Epub 2021 Oct 20. PMID: 34731801.
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Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy.

Scientific reports

Niraula D, Jamaluddin J, Matuszak MM, Haken RKT, Naqa IE.
PMID: 34876609
Sci Rep. 2021 Dec 07;11(1):23545. doi: 10.1038/s41598-021-02910-y.

Subtle differences in a patient's genetics and physiology may alter radiotherapy (RT) treatment responses, motivating the need for a more personalized treatment plan. Accordingly, we have developed a novel quantum deep reinforcement learning (qDRL) framework for clinical decision support...

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Niraula D, Jamaluddin J, Matuszak MM, et al. Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy. Sci Rep. 2021;11(1):23545doi: 10.1038/s41598-021-02910-y.
Niraula, D., Jamaluddin, J., Matuszak, M. M., Haken, R. K. T., & Naqa, I. E. (2021). Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy. Scientific reports, 11(1), 23545. https://doi.org/10.1038/s41598-021-02910-y
Niraula, Dipesh, et al. "Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy." Scientific reports vol. 11,1 (2021): 23545. doi: https://doi.org/10.1038/s41598-021-02910-y
Niraula D, Jamaluddin J, Matuszak MM, Haken RKT, Naqa IE. Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy. Sci Rep. 2021 Dec 07;11(1):23545. doi: 10.1038/s41598-021-02910-y. PMID: 34876609; PMCID: PMC8651664.
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The mixture of siRNAs targeted to IL-4 and IL-13 genes effectively reduces the airway hyperreactivity and allergic inflammation in a mouse model of asthma.

International immunopharmacology

Ip S, Ms S, Av K, Aa N, Ed B, Vi K, Li V, Vn T, Kv Y, Mm K, Ve B, I S, A M, DA K, O P, M R K.
PMID: 34923422
Int Immunopharmacol. 2022 Feb;103:108432. doi: 10.1016/j.intimp.2021.108432. Epub 2021 Dec 17.

Bronchial asthma (BA) is one of the most common chronic inflammatory disease of airways. There are huge experimental data indicating that Th2-cytokines IL-4 and IL-13 play a key role in BA pathogenesis. They are implicated in the IgE synthesis,...

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Ip S, Ms S, Av K, et al. The mixture of siRNAs targeted to IL-4 and IL-13 genes effectively reduces the airway hyperreactivity and allergic inflammation in a mouse model of asthma. Int Immunopharmacol. 2021;103:108432doi: 10.1016/j.intimp.2021.108432.
Ip, S., Ms, S., Av, K., Aa, N., Ed, B., Vi, K., Li, V., Vn, T., Kv, Y., Mm, K., Ve, B., I, S., A, M., DA, K., O, P., & M R, K. (2022). The mixture of siRNAs targeted to IL-4 and IL-13 genes effectively reduces the airway hyperreactivity and allergic inflammation in a mouse model of asthma. International immunopharmacology, 103108432. https://doi.org/10.1016/j.intimp.2021.108432
Ip, Shilovskiy, et al. "The mixture of siRNAs targeted to IL-4 and IL-13 genes effectively reduces the airway hyperreactivity and allergic inflammation in a mouse model of asthma." International immunopharmacology vol. 103 (2022): 108432. doi: https://doi.org/10.1016/j.intimp.2021.108432
Ip S, Ms S, Av K, Aa N, Ed B, Vi K, Li V, Vn T, Kv Y, Mm K, Ve B, I S, A M, DA K, O P, M R K. The mixture of siRNAs targeted to IL-4 and IL-13 genes effectively reduces the airway hyperreactivity and allergic inflammation in a mouse model of asthma. Int Immunopharmacol. 2022 Feb;103:108432. doi: 10.1016/j.intimp.2021.108432. Epub 2021 Dec 17. PMID: 34923422.
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CuInS.

ACS applied materials & interfaces

Chae SY, Kim Y, Park ED, Im SH, Joo OS.
PMID: 34450006
ACS Appl Mater Interfaces. 2021 Aug 27; doi: 10.1021/acsami.1c09560. Epub 2021 Aug 27.

An atomic gradient passivation layer, (Ta,Mo)

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Chae SY, Kim Y, Park ED, et al. CuInS. ACS Appl Mater Interfaces. 2021;doi: 10.1021/acsami.1c09560.
Chae, S. Y., Kim, Y., Park, E. D., Im, S. H., & Joo, O. S. (2021). CuInS. ACS applied materials & interfaces, . https://doi.org/10.1021/acsami.1c09560
Chae, Sang Youn, et al. "CuInS." ACS applied materials & interfaces vol. (2021). doi: https://doi.org/10.1021/acsami.1c09560
Chae SY, Kim Y, Park ED, Im SH, Joo OS. CuInS. ACS Appl Mater Interfaces. 2021 Aug 27; doi: 10.1021/acsami.1c09560. Epub 2021 Aug 27. PMID: 34450006.
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Natural Language Processing markers in first episode psychosis and people at clinical high-risk.

Translational psychiatry

Morgan SE, Diederen K, Vértes PE, Ip SHY, Wang B, Thompson B, Demjaha A, De Micheli A, Oliver D, Liakata M, Fusar-Poli P, Spencer TJ, McGuire P.
PMID: 34903724
Transl Psychiatry. 2021 Dec 13;11(1):630. doi: 10.1038/s41398-021-01722-y.

Recent work has suggested that disorganised speech might be a powerful predictor of later psychotic illness in clinical high risk subjects. To that end, several automated measures to quantify disorganisation of transcribed speech have been proposed. However, it remains...

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Morgan SE, Diederen K, Vértes PE, et al. Natural Language Processing markers in first episode psychosis and people at clinical high-risk. Transl Psychiatry. 2021;11(1):630doi: 10.1038/s41398-021-01722-y.
Morgan, S. E., Diederen, K., Vértes, P. E., Ip, S. H. Y., Wang, B., Thompson, B., Demjaha, A., De Micheli, A., Oliver, D., Liakata, M., Fusar-Poli, P., Spencer, T. J., & McGuire, P. (2021). Natural Language Processing markers in first episode psychosis and people at clinical high-risk. Translational psychiatry, 11(1), 630. https://doi.org/10.1038/s41398-021-01722-y
Morgan, Sarah E, et al. "Natural Language Processing markers in first episode psychosis and people at clinical high-risk." Translational psychiatry vol. 11,1 (2021): 630. doi: https://doi.org/10.1038/s41398-021-01722-y
Morgan SE, Diederen K, Vértes PE, Ip SHY, Wang B, Thompson B, Demjaha A, De Micheli A, Oliver D, Liakata M, Fusar-Poli P, Spencer TJ, McGuire P. Natural Language Processing markers in first episode psychosis and people at clinical high-risk. Transl Psychiatry. 2021 Dec 13;11(1):630. doi: 10.1038/s41398-021-01722-y. PMID: 34903724.
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Showing 649 to 655 of 655 entries