Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings

A.D. Revell; D. Wang; R. Wood; C. Morrow; H. Tempelman; R.L. Hamers; G. Alvarez-Uria; A. Streinu-Cercel; L. Ene; A.M.J. Wensing; F. Dewolf; M. Nelson; J.S. Montaner; H.C. Lane; B.A. Larder

Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings

A.D. Revell, D. Wang, R. Wood, C. Morrow, H. Tempelman, R.L. Hamers, G. Alvarez-Uria, A. Streinu-Cercel, L. Ene, A.M.J. Wensing, F. Dewolf, M. Nelson, J.S. Montaner, H.C. Lane, B.A. Larder

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	1406-1414
Number of pages	9
Journal	Journal of Antimicrobial Chemotherapy
Volume	68
Issue number	6
Publication status	Published - 2013
Externally published	Yes

Access to Document

http://www.ncbi.nlm.nih.gov/pubmed/23485767

Cite this

Revell, A. D., Wang, D., Wood, R., Morrow, C., Tempelman, H., Hamers, R. L., Alvarez-Uria, G., Streinu-Cercel, A., Ene, L., Wensing, A. M. J., Dewolf, F., Nelson, M., Montaner, J. S., Lane, H. C., & Larder, B. A. (2013). Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings. Journal of Antimicrobial Chemotherapy, 68(6), 1406-1414. http://www.ncbi.nlm.nih.gov/pubmed/23485767

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title = "Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings",

author = "A.D. Revell and D. Wang and R. Wood and C. Morrow and H. Tempelman and R.L. Hamers and G. Alvarez-Uria and A. Streinu-Cercel and L. Ene and A.M.J. Wensing and F. Dewolf and M. Nelson and J.S. Montaner and H.C. Lane and B.A. Larder",

year = "2013",

language = "English",

volume = "68",

pages = "1406--1414",

journal = "Journal of Antimicrobial Chemotherapy",

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Revell, AD, Wang, D, Wood, R, Morrow, C, Tempelman, H, Hamers, RL, Alvarez-Uria, G, Streinu-Cercel, A, Ene, L, Wensing, AMJ, Dewolf, F, Nelson, M, Montaner, JS, Lane, HC & Larder, BA 2013, 'Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings', Journal of Antimicrobial Chemotherapy, vol. 68, no. 6, pp. 1406-1414. <http://www.ncbi.nlm.nih.gov/pubmed/23485767>

TY - JOUR

T1 - Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings

AU - Revell, A.D.

AU - Wang, D.

AU - Wood, R.

AU - Morrow, C.

AU - Tempelman, H.

AU - Hamers, R.L.

AU - Alvarez-Uria, G.

AU - Streinu-Cercel, A.

AU - Ene, L.

AU - Wensing, A.M.J.

AU - Dewolf, F.

AU - Nelson, M.

AU - Montaner, J.S.

AU - Lane, H.C.

AU - Larder, B.A.

PY - 2013

Y1 - 2013

M3 - Article

SN - 0305-7453

VL - 68

SP - 1406

EP - 1414

JO - Journal of Antimicrobial Chemotherapy

JF - Journal of Antimicrobial Chemotherapy

IS - 6

ER -