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Showing 37 to 43 of 43 entries
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Inhibitory effects of Chinese nutritional herbs in isogenic breast carcinoma cells with modulated estrogen receptor function.

Oncology letters

Telang N, Li G, Katdare M, Sepkovic D, Bradlow L, Wong G.
PMID: 27895755
Oncol Lett. 2016 Nov;12(5):3949-3957. doi: 10.3892/ol.2016.5197. Epub 2016 Sep 28.

In estrogen receptor (ER)+ MCF-7 cells, ER represents a ligand-activated transcription factor, and 17β-estradiol (E2) represents its physiological ligand. Maintenance of the human breast carcinoma-derived MCF-7 cells with 0.7% serum selected a proliferative sub-population of E2-responsive cells with transiently...

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Telang N, Li G, Katdare M, et al. Inhibitory effects of Chinese nutritional herbs in isogenic breast carcinoma cells with modulated estrogen receptor function. Oncol Lett. 2016;12(5):3949-3957doi: 10.3892/ol.2016.5197.
Telang, N., Li, G., Katdare, M., Sepkovic, D., Bradlow, L., & Wong, G. (2016). Inhibitory effects of Chinese nutritional herbs in isogenic breast carcinoma cells with modulated estrogen receptor function. Oncology letters, 12(5), 3949-3957. https://doi.org/10.3892/ol.2016.5197
Telang, Nitin, et al. "Inhibitory effects of Chinese nutritional herbs in isogenic breast carcinoma cells with modulated estrogen receptor function." Oncology letters vol. 12,5 (2016): 3949-3957. doi: https://doi.org/10.3892/ol.2016.5197
Telang N, Li G, Katdare M, Sepkovic D, Bradlow L, Wong G. Inhibitory effects of Chinese nutritional herbs in isogenic breast carcinoma cells with modulated estrogen receptor function. Oncol Lett. 2016 Nov;12(5):3949-3957. doi: 10.3892/ol.2016.5197. Epub 2016 Sep 28. PMID: 27895755; PMCID: PMC5104215.
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Segmentation-free Heart Pathology Detection Using Deep Learning.

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

Bondareva E, Han J, Bradlow W, Mascolo C.
PMID: 34891381
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:669-672. doi: 10.1109/EMBC46164.2021.9630203.

Cardiovascular (CV) diseases are the leading cause of death in the world, and auscultation is typically an essential part of a cardiovascular examination. The ability to diagnose a patient based on their heart sounds is a rather difficult skill...

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Bondareva E, Han J, Bradlow W, et al. Segmentation-free Heart Pathology Detection Using Deep Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:669-672doi: 10.1109/EMBC46164.2021.9630203.
Bondareva, E., Han, J., Bradlow, W., & Mascolo, C. (2021). Segmentation-free Heart Pathology Detection Using Deep Learning. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021669-672. https://doi.org/10.1109/EMBC46164.2021.9630203
Bondareva, Erika, et al. "Segmentation-free Heart Pathology Detection Using Deep Learning." 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): 669-672. doi: https://doi.org/10.1109/EMBC46164.2021.9630203
Bondareva E, Han J, Bradlow W, Mascolo C. Segmentation-free Heart Pathology Detection Using Deep Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:669-672. doi: 10.1109/EMBC46164.2021.9630203. PMID: 34891381.
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The nutritional herb .

Oncology letters

Telang NT, Li G, Katdare M, Sepkovic DW, Bradlow HL, Wong GYC.
PMID: 28454423
Oncol Lett. 2017 Apr;13(4):2477-2482. doi: 10.3892/ol.2017.5720. Epub 2017 Feb 13.

The Luminal A subtype of breast cancer expresses the estrogen receptor (ER)-α and progesterone receptor (PR), but not the human epidermal growth factor receptor (HER)-2 oncogene. This subtype of breast cancer responds to endocrine therapy involving the use of...

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Telang NT, Li G, Katdare M, et al. The nutritional herb . Oncol Lett. 2017;13(4):2477-2482doi: 10.3892/ol.2017.5720.
Telang, N. T., Li, G., Katdare, M., Sepkovic, D. W., Bradlow, H. L., & Wong, G. Y. C. (2017). The nutritional herb . Oncology letters, 13(4), 2477-2482. https://doi.org/10.3892/ol.2017.5720
Telang, Nitin T, et al. "The nutritional herb ." Oncology letters vol. 13,4 (2017): 2477-2482. doi: https://doi.org/10.3892/ol.2017.5720
Telang NT, Li G, Katdare M, Sepkovic DW, Bradlow HL, Wong GYC. The nutritional herb . Oncol Lett. 2017 Apr;13(4):2477-2482. doi: 10.3892/ol.2017.5720. Epub 2017 Feb 13. PMID: 28454423; PMCID: PMC5403390.
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Intelligibility of normal speech I: Global and fine-grained acoustic-phonetic talker characteristics.

Speech communication

Bradlow AR, Torretta GM, Pisoni DB.
PMID: 21461127
Speech Commun. 1996 Dec 01;20(3):255-272. doi: 10.1016/S0167-6393(96)00063-5.

This study used a multi-talker database containing intelligibility scores for 2000 sentences (20 talkers, 100 sentences), to identify talker-related correlates of speech intelligibility. We first investigated "global" talker characteristics (e.g., gender, F0 and speaking rate). Findings showed female talkers...

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Bradlow AR, Torretta GM, Pisoni DB. Intelligibility of normal speech I: Global and fine-grained acoustic-phonetic talker characteristics. Speech Commun. 1996;20(3):255-272doi: 10.1016/S0167-6393(96)00063-5.
Bradlow, A. R., Torretta, G. M., & Pisoni, D. B. (1996). Intelligibility of normal speech I: Global and fine-grained acoustic-phonetic talker characteristics. Speech communication, 20(3), 255-272. https://doi.org/10.1016/S0167-6393(96)00063-5
Bradlow, Ann R, et al. "Intelligibility of normal speech I: Global and fine-grained acoustic-phonetic talker characteristics." Speech communication vol. 20,3 (1996): 255-272. doi: https://doi.org/10.1016/S0167-6393(96)00063-5
Bradlow AR, Torretta GM, Pisoni DB. Intelligibility of normal speech I: Global and fine-grained acoustic-phonetic talker characteristics. Speech Commun. 1996 Dec 01;20(3):255-272. doi: 10.1016/S0167-6393(96)00063-5. PMID: 21461127; PMCID: PMC3066472.
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LANGUAGE- AND TALKER-DEPENDENT VARIATION IN GLOBAL FEATURES OF NATIVE AND NON-NATIVE SPEECH.

Proceedings of the ... International Congress of Phonetic Sciences. International Congress of Phonetic Sciences

Bradlow AR, Ackerman L, Burchfield LA, Hesterberg L, Luque J, Mok K.
PMID: 23493466
Proc Int Congr Phon Sci. 2011;356-359.

We motivate and present a corpus of scripted and spontaneous speech in both the native and the non-native language of talkers from various language backgrounds. Using corpus recordings from 11 native English and 11 late Mandarin-English bilinguals we compared...

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Bradlow AR, Ackerman L, Burchfield LA, et al. LANGUAGE- AND TALKER-DEPENDENT VARIATION IN GLOBAL FEATURES OF NATIVE AND NON-NATIVE SPEECH. Proc Int Congr Phon Sci. 2011;356-359
Bradlow, A. R., Ackerman, L., Burchfield, L. A., Hesterberg, L., Luque, J., & Mok, K. (2011). LANGUAGE- AND TALKER-DEPENDENT VARIATION IN GLOBAL FEATURES OF NATIVE AND NON-NATIVE SPEECH. Proceedings of the ... International Congress of Phonetic Sciences. International Congress of Phonetic Sciences, 356-359.
Bradlow, Ann R, et al. "LANGUAGE- AND TALKER-DEPENDENT VARIATION IN GLOBAL FEATURES OF NATIVE AND NON-NATIVE SPEECH." Proceedings of the ... International Congress of Phonetic Sciences. International Congress of Phonetic Sciences vol. (2011): 356-359.
Bradlow AR, Ackerman L, Burchfield LA, Hesterberg L, Luque J, Mok K. LANGUAGE- AND TALKER-DEPENDENT VARIATION IN GLOBAL FEATURES OF NATIVE AND NON-NATIVE SPEECH. Proc Int Congr Phon Sci. 2011;356-359. PMID: 23493466; PMCID: PMC3594809.
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Impact of Right Ventricular Dysfunction on Mortality in Patients Hospitalized With COVID-19, According to Race.

CJC open

Moody WE, Mahmoud-Elsayed HM, Senior J, Gul U, Khan-Kheil AM, Horne S, Banerjee A, Bradlow WM, Huggett R, Hothi SS, Shahid M, Steeds RP.
PMID: 32984798
CJC Open. 2021 Jan;3(1):91-100. doi: 10.1016/j.cjco.2020.09.016. Epub 2020 Sep 20.

BACKGROUND: Epidemiologic studies suggest that Black, Asian, and minority ethnic (BAME) patients may be at risk of worse outcomes from coronavirus disease-2019 (COVID-19), but the pathophysiological drivers for this association are unknown. This study sought to investigate the relationship...

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Moody WE, Mahmoud-Elsayed HM, Senior J, et al. Impact of Right Ventricular Dysfunction on Mortality in Patients Hospitalized With COVID-19, According to Race. CJC Open. 2020;3(1):91-100doi: 10.1016/j.cjco.2020.09.016.
Moody, W. E., Mahmoud-Elsayed, H. M., Senior, J., Gul, U., Khan-Kheil, A. M., Horne, S., Banerjee, A., Bradlow, W. M., Huggett, R., Hothi, S. S., Shahid, M., & Steeds, R. P. (2021). Impact of Right Ventricular Dysfunction on Mortality in Patients Hospitalized With COVID-19, According to Race. CJC open, 3(1), 91-100. https://doi.org/10.1016/j.cjco.2020.09.016
Moody, William E, et al. "Impact of Right Ventricular Dysfunction on Mortality in Patients Hospitalized With COVID-19, According to Race." CJC open vol. 3,1 (2021): 91-100. doi: https://doi.org/10.1016/j.cjco.2020.09.016
Moody WE, Mahmoud-Elsayed HM, Senior J, Gul U, Khan-Kheil AM, Horne S, Banerjee A, Bradlow WM, Huggett R, Hothi SS, Shahid M, Steeds RP. Impact of Right Ventricular Dysfunction on Mortality in Patients Hospitalized With COVID-19, According to Race. CJC Open. 2021 Jan;3(1):91-100. doi: 10.1016/j.cjco.2020.09.016. Epub 2020 Sep 20. PMID: 32984798; PMCID: PMC7502228.
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Segmentation-free Heart Pathology Detection Using Deep Learning.

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

Bondareva E, Han J, Bradlow W, Mascolo C.
PMID: 34891381
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:669-672. doi: 10.1109/EMBC46164.2021.9630203.

Cardiovascular (CV) diseases are the leading cause of death in the world, and auscultation is typically an essential part of a cardiovascular examination. The ability to diagnose a patient based on their heart sounds is a rather difficult skill...

Cite
Bondareva E, Han J, Bradlow W, et al. Segmentation-free Heart Pathology Detection Using Deep Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:669-672doi: 10.1109/EMBC46164.2021.9630203.
Bondareva, E., Han, J., Bradlow, W., & Mascolo, C. (2021). Segmentation-free Heart Pathology Detection Using Deep Learning. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021669-672. https://doi.org/10.1109/EMBC46164.2021.9630203
Bondareva, Erika, et al. "Segmentation-free Heart Pathology Detection Using Deep Learning." 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): 669-672. doi: https://doi.org/10.1109/EMBC46164.2021.9630203
Bondareva E, Han J, Bradlow W, Mascolo C. Segmentation-free Heart Pathology Detection Using Deep Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:669-672. doi: 10.1109/EMBC46164.2021.9630203. PMID: 34891381.
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Showing 37 to 43 of 43 entries