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Temporal profiling of therapy resistance in human medulloblastoma identifies novel targetable drivers of recurrence.

Science advances

Bakhshinyan D, Adile AA, Liu J, Gwynne WD, Suk Y, Custers S, Burns I, Singh M, McFarlane N, Subapanditha MK, Qazi MA, Vora P, Kameda-Smith MM, Savage N, Desmond KL, Tatari N, Tran D, Seyfrid M, Hope K, Bock NA, Venugopal C, Bader GD, Singh SK.
PMID: 34878832
Sci Adv. 2021 Dec 10;7(50):eabi5568. doi: 10.1126/sciadv.abi5568. Epub 2021 Dec 08.

[Figure: see text].

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Bakhshinyan D, Adile AA, Liu J, et al. Temporal profiling of therapy resistance in human medulloblastoma identifies novel targetable drivers of recurrence. Sci Adv. 2021;7(50):eabi5568doi: 10.1126/sciadv.abi5568.
Bakhshinyan, D., Adile, A. A., Liu, J., Gwynne, W. D., Suk, Y., Custers, S., Burns, I., Singh, M., McFarlane, N., Subapanditha, M. K., Qazi, M. A., Vora, P., Kameda-Smith, M. M., Savage, N., Desmond, K. L., Tatari, N., Tran, D., Seyfrid, M., Hope, K., Bock, N. A., Venugopal, C., Bader, G. D., & Singh, S. K. (2021). Temporal profiling of therapy resistance in human medulloblastoma identifies novel targetable drivers of recurrence. Science advances, 7(50), eabi5568. https://doi.org/10.1126/sciadv.abi5568
Bakhshinyan, David, et al. "Temporal profiling of therapy resistance in human medulloblastoma identifies novel targetable drivers of recurrence." Science advances vol. 7,50 (2021): eabi5568. doi: https://doi.org/10.1126/sciadv.abi5568
Bakhshinyan D, Adile AA, Liu J, Gwynne WD, Suk Y, Custers S, Burns I, Singh M, McFarlane N, Subapanditha MK, Qazi MA, Vora P, Kameda-Smith MM, Savage N, Desmond KL, Tatari N, Tran D, Seyfrid M, Hope K, Bock NA, Venugopal C, Bader GD, Singh SK. Temporal profiling of therapy resistance in human medulloblastoma identifies novel targetable drivers of recurrence. Sci Adv. 2021 Dec 10;7(50):eabi5568. doi: 10.1126/sciadv.abi5568. Epub 2021 Dec 08. PMID: 34878832; PMCID: PMC8654291.
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Focality-Oriented Selection of Current Dose for Transcranial Direct Current Stimulation.

Journal of personalized medicine

Kashyap R, Bhattacharjee S, Arumugam R, Bharath RD, Udupa K, Oishi K, Desmond JE, Chen SHA, Guan C.
PMID: 34575717
J Pers Med. 2021 Sep 21;11(9). doi: 10.3390/jpm11090940.

No abstract available.

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Kashyap R, Bhattacharjee S, Arumugam R, et al. Focality-Oriented Selection of Current Dose for Transcranial Direct Current Stimulation. J Pers Med. 2021;11(9)doi: 10.3390/jpm11090940.
Kashyap, R., Bhattacharjee, S., Arumugam, R., Bharath, R. D., Udupa, K., Oishi, K., Desmond, J. E., Chen, S. H. A., & Guan, C. (2021). Focality-Oriented Selection of Current Dose for Transcranial Direct Current Stimulation. Journal of personalized medicine, 11(9), . https://doi.org/10.3390/jpm11090940
Kashyap, Rajan, et al. "Focality-Oriented Selection of Current Dose for Transcranial Direct Current Stimulation." Journal of personalized medicine vol. 11,9 (2021). doi: https://doi.org/10.3390/jpm11090940
Kashyap R, Bhattacharjee S, Arumugam R, Bharath RD, Udupa K, Oishi K, Desmond JE, Chen SHA, Guan C. Focality-Oriented Selection of Current Dose for Transcranial Direct Current Stimulation. J Pers Med. 2021 Sep 21;11(9). doi: 10.3390/jpm11090940. PMID: 34575717; PMCID: PMC8466113.
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Learning from disease registries during a pandemic: Moving toward an international federation of patient registries.

Clinics in dermatology

Wall D, Alhusayen R, Arents B, Apfelbacher C, Balogh EA, Bokhari L, Bloem M, Bosma AL, Burton T, Castelo-Soccio L, Fagan N, Feldman SR, Fletcher G, Flohr C, Freeman E, French LE, Griffiths CEM, Hruza GJ, Ingram JR, Kappelman MD, Lara-Corrales I, Lim HW, Meah N, McMahon DE, Mahil SK, McNicoll I, Musters A, Naik HB, Sinclair R, Smith CH, Spuls P, Tobin DJ, York K, Irvine AD.
PMID: 34518006
Clin Dermatol. 2021 May-Jun;39(3):467-478. doi: 10.1016/j.clindermatol.2021.01.018. Epub 2021 Apr 06.

High-quality dermatology patient registries often require considerable time to develop and produce meaningful data. Development time is influenced by registry complexity and regulatory hurdles that vary significantly nationally and institutionally. The rapid emergence of the coronavirus disease 2019 (COVID-19)...

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Wall D, Alhusayen R, Arents B, et al. Learning from disease registries during a pandemic: Moving toward an international federation of patient registries. Clin Dermatol. 2021;39(3):467-478doi: 10.1016/j.clindermatol.2021.01.018.
Wall, D., Alhusayen, R., Arents, B., Apfelbacher, C., Balogh, E. A., Bokhari, L., Bloem, M., Bosma, A. L., Burton, T., Castelo-Soccio, L., Fagan, N., Feldman, S. R., Fletcher, G., Flohr, C., Freeman, E., French, L. E., Griffiths, C. E. M., Hruza, G. J., Ingram, J. R., Kappelman, M. D., Lara-Corrales, I., Lim, H. W., Meah, N., McMahon, D. E., Mahil, S. K., McNicoll, I., Musters, A., Naik, H. B., Sinclair, R., Smith, C. H., Spuls, P., Tobin, D. J., York, K., & Irvine, A. D. (2021). Learning from disease registries during a pandemic: Moving toward an international federation of patient registries. Clinics in dermatology, 39(3), 467-478. https://doi.org/10.1016/j.clindermatol.2021.01.018
Wall, Dmitri, et al. "Learning from disease registries during a pandemic: Moving toward an international federation of patient registries." Clinics in dermatology vol. 39,3 (2021): 467-478. doi: https://doi.org/10.1016/j.clindermatol.2021.01.018
Wall D, Alhusayen R, Arents B, Apfelbacher C, Balogh EA, Bokhari L, Bloem M, Bosma AL, Burton T, Castelo-Soccio L, Fagan N, Feldman SR, Fletcher G, Flohr C, Freeman E, French LE, Griffiths CEM, Hruza GJ, Ingram JR, Kappelman MD, Lara-Corrales I, Lim HW, Meah N, McMahon DE, Mahil SK, McNicoll I, Musters A, Naik HB, Sinclair R, Smith CH, Spuls P, Tobin DJ, York K, Irvine AD. Learning from disease registries during a pandemic: Moving toward an international federation of patient registries. Clin Dermatol. 2021 May-Jun;39(3):467-478. doi: 10.1016/j.clindermatol.2021.01.018. Epub 2021 Apr 06. PMID: 34518006; PMCID: PMC8432911.
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A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD.

NeuroImage

Zhao K, Duka B, Xie H, Oathes DJ, Calhoun V, Zhang Y.
PMID: 34861391
Neuroimage. 2021 Nov 30;246:118774. doi: 10.1016/j.neuroimage.2021.118774. Epub 2021 Nov 30.

The pathological mechanism of attention deficit hyperactivity disorder (ADHD) is incompletely specified, which leads to difficulty in precise diagnosis. Functional magnetic resonance imaging (fMRI) has emerged as a common neuroimaging technique for studying the brain functional connectome. Most existing...

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Zhao K, Duka B, Xie H, et al. A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD. Neuroimage. 2021;246:118774doi: 10.1016/j.neuroimage.2021.118774.
Zhao, K., Duka, B., Xie, H., Oathes, D. J., Calhoun, V., & Zhang, Y. (2021). A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD. NeuroImage, 246118774. https://doi.org/10.1016/j.neuroimage.2021.118774
Zhao, Kanhao, et al. "A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD." NeuroImage vol. 246 (2021): 118774. doi: https://doi.org/10.1016/j.neuroimage.2021.118774
Zhao K, Duka B, Xie H, Oathes DJ, Calhoun V, Zhang Y. A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD. Neuroimage. 2021 Nov 30;246:118774. doi: 10.1016/j.neuroimage.2021.118774. Epub 2021 Nov 30. PMID: 34861391.
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Showing 241 to 244 of 244 entries