Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 9985 to 9996 of 139562 entries
Sorted by: Best Match Show Resources per page
Sex Disparity in Severity of Lung Lesions in Newly Identified Tuberculosis Is Age-Associated.

Frontiers in medicine

Chu Y, Soodeen-Lalloo AK, Huang J, Yang G, Chen F, Yin H, Sha W, Huang X, Shi J, Feng Y.
PMID: 31380378
Front Med (Lausanne). 2019 Jul 17;6:163. doi: 10.3389/fmed.2019.00163. eCollection 2019.

No abstract available.

Cite
Chu Y, Soodeen-Lalloo AK, Huang J, et al. Sex Disparity in Severity of Lung Lesions in Newly Identified Tuberculosis Is Age-Associated. Front Med (Lausanne). 2019;6:163doi: 10.3389/fmed.2019.00163.
Chu, Y., Soodeen-Lalloo, A. K., Huang, J., Yang, G., Chen, F., Yin, H., Sha, W., Huang, X., Shi, J., & Feng, Y. (2019). Sex Disparity in Severity of Lung Lesions in Newly Identified Tuberculosis Is Age-Associated. Frontiers in medicine, 6163. https://doi.org/10.3389/fmed.2019.00163
Chu, Yue, et al. "Sex Disparity in Severity of Lung Lesions in Newly Identified Tuberculosis Is Age-Associated." Frontiers in medicine vol. 6 (2019): 163. doi: https://doi.org/10.3389/fmed.2019.00163
Chu Y, Soodeen-Lalloo AK, Huang J, Yang G, Chen F, Yin H, Sha W, Huang X, Shi J, Feng Y. Sex Disparity in Severity of Lung Lesions in Newly Identified Tuberculosis Is Age-Associated. Front Med (Lausanne). 2019 Jul 17;6:163. doi: 10.3389/fmed.2019.00163. eCollection 2019. PMID: 31380378; PMCID: PMC6650771.
Copy Download .nbib Format: NLM
Cancer Immunotherapies and Humanized Mouse Drug Testing Platforms.

Translational oncology

Chen Q, Wang J, Liu WN, Zhao Y.
PMID: 31121491
Transl Oncol. 2019 Jul;12(7):987-995. doi: 10.1016/j.tranon.2019.04.020. Epub 2019 May 20.

Cancer immunotherapy is a type of treatment that restores and stimulates human immune system to inhibit cancer growth or eradicate cancer. It serves as one of the latest systemic therapies, which has been approved to treat different types of...

Cite
Chen Q, Wang J, Liu WN, et al. Cancer Immunotherapies and Humanized Mouse Drug Testing Platforms. Transl Oncol. 2019;12(7):987-995doi: 10.1016/j.tranon.2019.04.020.
Chen, Q., Wang, J., Liu, W. N., & Zhao, Y. (2019). Cancer Immunotherapies and Humanized Mouse Drug Testing Platforms. Translational oncology, 12(7), 987-995. https://doi.org/10.1016/j.tranon.2019.04.020
Chen, Qingfeng, et al. "Cancer Immunotherapies and Humanized Mouse Drug Testing Platforms." Translational oncology vol. 12,7 (2019): 987-995. doi: https://doi.org/10.1016/j.tranon.2019.04.020
Chen Q, Wang J, Liu WN, Zhao Y. Cancer Immunotherapies and Humanized Mouse Drug Testing Platforms. Transl Oncol. 2019 Jul;12(7):987-995. doi: 10.1016/j.tranon.2019.04.020. Epub 2019 May 20. PMID: 31121491; PMCID: PMC6529825.
Copy Download .nbib Format: NLM
G-protein-signaling modulator 2 expression and role in a CD133.

OncoTargets and therapy

Dang SC, Qian XB, Jin W, Cui L, Chen JX, Gu M.
PMID: 30774366
Onco Targets Ther. 2019 Jan 23;12:785-794. doi: 10.2147/OTT.S187670. eCollection 2019.

BACKGROUND: To investigate the expression and role of G-protein-signaling modulator 2 (GPSM2) in a CD133MATERIALS AND METHODS: Pancreatic cancer stem cells (PCSCs) from the cell line PANC-1 were sorted into CD133RESULTS: CD133CONCLUSION: The CD133

Cite
Dang SC, Qian XB, Jin W, et al. G-protein-signaling modulator 2 expression and role in a CD133. Onco Targets Ther. 2019;12:785-794doi: 10.2147/OTT.S187670.
Dang, S. C., Qian, X. B., Jin, W., Cui, L., Chen, J. X., & Gu, M. (2019). G-protein-signaling modulator 2 expression and role in a CD133. OncoTargets and therapy, 12785-794. https://doi.org/10.2147/OTT.S187670
Dang, Sheng-Chun, et al. "G-protein-signaling modulator 2 expression and role in a CD133." OncoTargets and therapy vol. 12 (2019): 785-794. doi: https://doi.org/10.2147/OTT.S187670
Dang SC, Qian XB, Jin W, Cui L, Chen JX, Gu M. G-protein-signaling modulator 2 expression and role in a CD133. Onco Targets Ther. 2019 Jan 23;12:785-794. doi: 10.2147/OTT.S187670. eCollection 2019. PMID: 30774366; PMCID: PMC6352860.
Copy Download .nbib Format: NLM
Temporal Coordination of Collective Migration and Lumen Formation by Antagonism between Two Nuclear Receptors.

iScience

Wang X, Wang H, Liu L, Li S, Emery G, Chen J.
PMID: 32682323
iScience. 2020 Jul 24;23(7):101335. doi: 10.1016/j.isci.2020.101335. Epub 2020 Jul 01.

During development, cells undergo multiple, distinct morphogenetic processes to form a tissue or organ, but how their temporal order and time interval are determined remain poorly understood. Here we show that the nuclear receptors E75 and DHR3 regulate the...

Cite
Wang X, Wang H, Liu L, et al. Temporal Coordination of Collective Migration and Lumen Formation by Antagonism between Two Nuclear Receptors. iScience. 2020;23(7):101335doi: 10.1016/j.isci.2020.101335.
Wang, X., Wang, H., Liu, L., Li, S., Emery, G., & Chen, J. (2020). Temporal Coordination of Collective Migration and Lumen Formation by Antagonism between Two Nuclear Receptors. iScience, 23(7), 101335. https://doi.org/10.1016/j.isci.2020.101335
Wang, Xianping, et al. "Temporal Coordination of Collective Migration and Lumen Formation by Antagonism between Two Nuclear Receptors." iScience vol. 23,7 (2020): 101335. doi: https://doi.org/10.1016/j.isci.2020.101335
Wang X, Wang H, Liu L, Li S, Emery G, Chen J. Temporal Coordination of Collective Migration and Lumen Formation by Antagonism between Two Nuclear Receptors. iScience. 2020 Jul 24;23(7):101335. doi: 10.1016/j.isci.2020.101335. Epub 2020 Jul 01. PMID: 32682323; PMCID: PMC7366032.
Copy Download .nbib Format: NLM
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Yang W, Yuan Y, Ren W, Liu J, Scheirer WJ, Wang Z, Zhang T, Zhong Q, Xie D, Pu S, Zheng Y, Qu Y, Xie Y, Chen L, Li Z, Hong C, Jiang H, Yang S, Liu Y, Qu X, Wan P, Zheng S, Zhong M, Su T, He L, Guo Y, Zhao Y, Zhu Z, Liang J, Wang J, Chen T, Quan Y, Xu Y, Liu B, Liu X, Sun Q, Lin T, Li X, Lu F, Gu L, Zhou S, Cao C, Zhang S, Chi C, Zhuang C, Lei Z, Li SZ, Wang S, Liu R, Yi D, Zuo Z, Chi J, Wang H, Wang K, Liu Y, Gao X, Chen Z, Guo C, Li Y, Zhong H, Huang J, Guo H, Yang J, Liao W, Yang J, Zhou L, Feng M, Qin L.
PMID: 32224457
IEEE Trans Image Process. 2020 Mar 27; doi: 10.1109/TIP.2020.2981922. Epub 2020 Mar 27.

Existing enhancement methods are empirically expected to help the high-level end computer vision task: however, that is observed to not always be the case in practice. We focus on object or face detection in poor visibility enhancements caused by...

Cite
Yang W, Yuan Y, Ren W, et al. Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans Image Process. 2020;doi: 10.1109/TIP.2020.2981922.
Yang, W., Yuan, Y., Ren, W., Liu, J., Scheirer, W. J., Wang, Z., Zhang, T., Zhong, Q., Xie, D., Pu, S., Zheng, Y., Qu, Y., Xie, Y., Chen, L., Li, Z., Hong, C., Jiang, H., Yang, S., Liu, Y., Qu, X., Wan, P., Zheng, S., Zhong, M., Su, T., He, L., Guo, Y., Zhao, Y., Zhu, Z., Liang, J., Wang, J., Chen, T., Quan, Y., Xu, Y., Liu, B., Liu, X., Sun, Q., Lin, T., Li, X., Lu, F., Gu, L., Zhou, S., Cao, C., Zhang, S., Chi, C., Zhuang, C., Lei, Z., Li, S. Z., Wang, S., Liu, R., Yi, D., Zuo, Z., Chi, J., Wang, H., Wang, K., Liu, Y., Gao, X., Chen, Z., Guo, C., Li, Y., Zhong, H., Huang, J., Guo, H., Yang, J., Liao, W., Yang, J., Zhou, L., Feng, M., & Qin, L. (2020). Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, . https://doi.org/10.1109/TIP.2020.2981922
Yang, Wenhan, et al. "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. (2020). doi: https://doi.org/10.1109/TIP.2020.2981922
Yang W, Yuan Y, Ren W, Liu J, Scheirer WJ, Wang Z, Zhang T, Zhong Q, Xie D, Pu S, Zheng Y, Qu Y, Xie Y, Chen L, Li Z, Hong C, Jiang H, Yang S, Liu Y, Qu X, Wan P, Zheng S, Zhong M, Su T, He L, Guo Y, Zhao Y, Zhu Z, Liang J, Wang J, Chen T, Quan Y, Xu Y, Liu B, Liu X, Sun Q, Lin T, Li X, Lu F, Gu L, Zhou S, Cao C, Zhang S, Chi C, Zhuang C, Lei Z, Li SZ, Wang S, Liu R, Yi D, Zuo Z, Chi J, Wang H, Wang K, Liu Y, Gao X, Chen Z, Guo C, Li Y, Zhong H, Huang J, Guo H, Yang J, Liao W, Yang J, Zhou L, Feng M, Qin L. Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans Image Process. 2020 Mar 27; doi: 10.1109/TIP.2020.2981922. Epub 2020 Mar 27. PMID: 32224457.
Copy Download .nbib Format: NLM
Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study.

JMIR medical informatics

Peng J, Chen C, Zhou M, Xie X, Zhou Y, Luo CH.
PMID: 32224488
JMIR Med Inform. 2020 Mar 30;8(3):e13075. doi: 10.2196/13075.

BACKGROUND: The overcrowding of hospital outpatient and emergency departments (OEDs) due to chronic respiratory diseases in certain weather or under certain environmental pollution conditions results in the degradation in quality of medical care, and even limits its availability.OBJECTIVE: To...

Cite
Peng J, Chen C, Zhou M, et al. Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study. JMIR Med Inform. 2020;8(3):e13075doi: 10.2196/13075.
Peng, J., Chen, C., Zhou, M., Xie, X., Zhou, Y., & Luo, C. H. (2020). Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study. JMIR medical informatics, 8(3), e13075. https://doi.org/10.2196/13075
Peng, Junfeng, et al. "Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study." JMIR medical informatics vol. 8,3 (2020): e13075. doi: https://doi.org/10.2196/13075
Peng J, Chen C, Zhou M, Xie X, Zhou Y, Luo CH. Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study. JMIR Med Inform. 2020 Mar 30;8(3):e13075. doi: 10.2196/13075. PMID: 32224488; PMCID: PMC7154928.
Copy Download .nbib Format: NLM
Bio-Inspired Isoalloxazine Redox Moieties for Rechargeable Aqueous Zinc-Ion Batteries.

Chemistry, an Asian journal

Cheng L, Liang Y, Zhu Q, Yu D, Chen M, Liang J, Wang H.
PMID: 32166912
Chem Asian J. 2020 Apr 17;15(8):1290-1295. doi: 10.1002/asia.202000283. Epub 2020 Mar 23.

Organic electrode materials hold great potential for fabricating sustainable energy storage systems, however, the development of organic redox-active moieties for rechargeable aqueous zinc-ion batteries is still at an early stage. Here, we report a bio-inspired riboflavin-based aqueous zinc-ion battery...

Cite
Cheng L, Liang Y, Zhu Q, et al. Bio-Inspired Isoalloxazine Redox Moieties for Rechargeable Aqueous Zinc-Ion Batteries. Chem Asian J. 2020;15(8):1290-1295doi: 10.1002/asia.202000283.
Cheng, L., Liang, Y., Zhu, Q., Yu, D., Chen, M., Liang, J., & Wang, H. (2020). Bio-Inspired Isoalloxazine Redox Moieties for Rechargeable Aqueous Zinc-Ion Batteries. Chemistry, an Asian journal, 15(8), 1290-1295. https://doi.org/10.1002/asia.202000283
Cheng, Liwei, et al. "Bio-Inspired Isoalloxazine Redox Moieties for Rechargeable Aqueous Zinc-Ion Batteries." Chemistry, an Asian journal vol. 15,8 (2020): 1290-1295. doi: https://doi.org/10.1002/asia.202000283
Cheng L, Liang Y, Zhu Q, Yu D, Chen M, Liang J, Wang H. Bio-Inspired Isoalloxazine Redox Moieties for Rechargeable Aqueous Zinc-Ion Batteries. Chem Asian J. 2020 Apr 17;15(8):1290-1295. doi: 10.1002/asia.202000283. Epub 2020 Mar 23. PMID: 32166912.
Copy Download .nbib Format: NLM
Autophagic regulation of platelet biology.

Journal of cellular physiology

Luo XL, Jiang JY, Huang Z, Chen LX.
PMID: 30714132
J Cell Physiol. 2019 Feb 04; doi: 10.1002/jcp.28243. Epub 2019 Feb 04.

Platelets, developed from megakaryocytes, are characterized by anucleate and short-life span hemocyte in mammal vessel. Platelets are very important in the cardiovascular system. Studies indicate the occurrence of autophagy platelets and megakaryocytes. Moreover, abnormal autophagy decreases the number of...

Cite
Luo XL, Jiang JY, Huang Z, et al. Autophagic regulation of platelet biology. J Cell Physiol. 2019;doi: 10.1002/jcp.28243.
Luo, X. L., Jiang, J. Y., Huang, Z., & Chen, L. X. (2019). Autophagic regulation of platelet biology. Journal of cellular physiology, . https://doi.org/10.1002/jcp.28243
Luo, Xu-Ling, et al. "Autophagic regulation of platelet biology." Journal of cellular physiology vol. (2019). doi: https://doi.org/10.1002/jcp.28243
Luo XL, Jiang JY, Huang Z, Chen LX. Autophagic regulation of platelet biology. J Cell Physiol. 2019 Feb 04; doi: 10.1002/jcp.28243. Epub 2019 Feb 04. PMID: 30714132.
Copy Download .nbib Format: NLM
Designing and Fabricating Ordered Mesoporous Metal Oxides for CO₂ Catalytic Conversion: A Review and Prospect.

Materials (Basel, Switzerland)

Cui Y, Lian X, Xu L, Chen M, Yang B, Wu CE, Li W, Huang B, Hu X.
PMID: 30654472
Materials (Basel). 2019 Jan 16;12(2). doi: 10.3390/ma12020276.

In the past two decades, great progress has been made in the aspects of fabrication and application of ordered mesoporous metal oxides. Ordered mesoporous metal oxides have attracted more and more attention due to their large surface areas and...

Cite
Cui Y, Lian X, Xu L, et al. Designing and Fabricating Ordered Mesoporous Metal Oxides for CO₂ Catalytic Conversion: A Review and Prospect. Materials (Basel). 2019;12(2)doi: 10.3390/ma12020276.
Cui, Y., Lian, X., Xu, L., Chen, M., Yang, B., Wu, C. E., Li, W., Huang, B., & Hu, X. (2019). Designing and Fabricating Ordered Mesoporous Metal Oxides for CO₂ Catalytic Conversion: A Review and Prospect. Materials (Basel, Switzerland), 12(2), . https://doi.org/10.3390/ma12020276
Cui, Yan, et al. "Designing and Fabricating Ordered Mesoporous Metal Oxides for CO₂ Catalytic Conversion: A Review and Prospect." Materials (Basel, Switzerland) vol. 12,2 (2019). doi: https://doi.org/10.3390/ma12020276
Cui Y, Lian X, Xu L, Chen M, Yang B, Wu CE, Li W, Huang B, Hu X. Designing and Fabricating Ordered Mesoporous Metal Oxides for CO₂ Catalytic Conversion: A Review and Prospect. Materials (Basel). 2019 Jan 16;12(2). doi: 10.3390/ma12020276. PMID: 30654472; PMCID: PMC6356952.
Copy Download .nbib Format: NLM
Targeting Lymph Node Sinus Macrophages to Inhibit Lymph Node Metastasis.

Molecular therapy. Nucleic acids

Hu J, Xu J, Li M, Zhang Y, Yi H, Chen J, Dong L, Zhang J, Huang Z.
PMID: 31121477
Mol Ther Nucleic Acids. 2019 Jun 07;16:650-662. doi: 10.1016/j.omtn.2019.04.016. Epub 2019 Apr 23.

Lymph nodes are important peripheral immune organs in which numerous important immune responses occur. During the process of lymphatic metastasis, lymph nodes are also sites through which tumor cells must pass. Therefore, it is essential to develop a drug...

Cite
Hu J, Xu J, Li M, et al. Targeting Lymph Node Sinus Macrophages to Inhibit Lymph Node Metastasis. Mol Ther Nucleic Acids. 2019;16:650-662doi: 10.1016/j.omtn.2019.04.016.
Hu, J., Xu, J., Li, M., Zhang, Y., Yi, H., Chen, J., Dong, L., Zhang, J., & Huang, Z. (2019). Targeting Lymph Node Sinus Macrophages to Inhibit Lymph Node Metastasis. Molecular therapy. Nucleic acids, 16650-662. https://doi.org/10.1016/j.omtn.2019.04.016
Hu, Junqing, et al. "Targeting Lymph Node Sinus Macrophages to Inhibit Lymph Node Metastasis." Molecular therapy. Nucleic acids vol. 16 (2019): 650-662. doi: https://doi.org/10.1016/j.omtn.2019.04.016
Hu J, Xu J, Li M, Zhang Y, Yi H, Chen J, Dong L, Zhang J, Huang Z. Targeting Lymph Node Sinus Macrophages to Inhibit Lymph Node Metastasis. Mol Ther Nucleic Acids. 2019 Jun 07;16:650-662. doi: 10.1016/j.omtn.2019.04.016. Epub 2019 Apr 23. PMID: 31121477; PMCID: PMC6529739.
Copy Download .nbib Format: NLM
Six-transmembrane epithelial antigen of the prostate 1 is associated with tumor invasion and migration in endometrial carcinomas.

Journal of cellular biochemistry

Sun J, Ji G, Xie J, Jiao Z, Zhang H, Chen J.
PMID: 30714206
J Cell Biochem. 2019 Feb 03; doi: 10.1002/jcb.28393. Epub 2019 Feb 03.

Six-transmembrane epithelial antigen of the prostate 1 (STEAP1), a member of the STEAP family, is a general tumor antigen. However, no information has been available to date regarding the function of STEAP1 in the progression of endometrial carcinoma. In...

Cite
Sun J, Ji G, Xie J, et al. Six-transmembrane epithelial antigen of the prostate 1 is associated with tumor invasion and migration in endometrial carcinomas. J Cell Biochem. 2019;doi: 10.1002/jcb.28393.
Sun, J., Ji, G., Xie, J., Jiao, Z., Zhang, H., & Chen, J. (2019). Six-transmembrane epithelial antigen of the prostate 1 is associated with tumor invasion and migration in endometrial carcinomas. Journal of cellular biochemistry, . https://doi.org/10.1002/jcb.28393
Sun, Jiali, et al. "Six-transmembrane epithelial antigen of the prostate 1 is associated with tumor invasion and migration in endometrial carcinomas." Journal of cellular biochemistry vol. (2019). doi: https://doi.org/10.1002/jcb.28393
Sun J, Ji G, Xie J, Jiao Z, Zhang H, Chen J. Six-transmembrane epithelial antigen of the prostate 1 is associated with tumor invasion and migration in endometrial carcinomas. J Cell Biochem. 2019 Feb 03; doi: 10.1002/jcb.28393. Epub 2019 Feb 03. PMID: 30714206.
Copy Download .nbib Format: NLM
microRNA-628 inhibits the proliferation of acute myeloid leukemia cells by directly targeting IGF-1R.

OncoTargets and therapy

Chen L, Jiang X, Chen H, Han Q, Liu C, Sun M.
PMID: 30774377
Onco Targets Ther. 2019 Jan 29;12:907-919. doi: 10.2147/OTT.S192137. eCollection 2019.

BACKGROUND: A variety of microRNAs (miRNAs) are aberrantly expressed in acute myeloid leukemia (AML), and these dysregulated miRNAs perform crucial roles in tumorigenesis and progression of AML. miR-628-3p (miR-628), one of the miRNAs dysregulated in multiple types of human...

Cite
Chen L, Jiang X, Chen H, et al. microRNA-628 inhibits the proliferation of acute myeloid leukemia cells by directly targeting IGF-1R. Onco Targets Ther. 2019;12:907-919doi: 10.2147/OTT.S192137.
Chen, L., Jiang, X., Chen, H., Han, Q., Liu, C., & Sun, M. (2019). microRNA-628 inhibits the proliferation of acute myeloid leukemia cells by directly targeting IGF-1R. OncoTargets and therapy, 12907-919. https://doi.org/10.2147/OTT.S192137
Chen, Lu, et al. "microRNA-628 inhibits the proliferation of acute myeloid leukemia cells by directly targeting IGF-1R." OncoTargets and therapy vol. 12 (2019): 907-919. doi: https://doi.org/10.2147/OTT.S192137
Chen L, Jiang X, Chen H, Han Q, Liu C, Sun M. microRNA-628 inhibits the proliferation of acute myeloid leukemia cells by directly targeting IGF-1R. Onco Targets Ther. 2019 Jan 29;12:907-919. doi: 10.2147/OTT.S192137. eCollection 2019. PMID: 30774377; PMCID: PMC6357892.
Copy Download .nbib Format: NLM
Showing 9985 to 9996 of 139562 entries