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Items: 1 to 20 of 95

1.

Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation.

Kowarsch A, Blöchl F, Bohl S, Saile M, Gretz N, Klingmüller U, Theis FJ.

BMC Bioinformatics. 2010 Nov 30;11:585. doi: 10.1186/1471-2105-11-585.

2.

Circulating mitochondrial DAMPs cause inflammatory responses to injury.

Zhang Q, Raoof M, Chen Y, Sumi Y, Sursal T, Junger W, Brohi K, Itagaki K, Hauser CJ.

Nature. 2010 Mar 4;464(7285):104-7. doi: 10.1038/nature08780.

3.

Agent-based modeling of endotoxin-induced acute inflammatory response in human blood leukocytes.

Dong X, Foteinou PT, Calvano SE, Lowry SF, Androulakis IP.

PLoS One. 2010 Feb 18;5(2):e9249. doi: 10.1371/journal.pone.0009249.

4.

High performance cellular level agent-based simulation with FLAME for the GPU.

Richmond P, Walker D, Coakley S, Romano D.

Brief Bioinform. 2010 May;11(3):334-47. doi: 10.1093/bib/bbp073. Epub 2010 Feb 1.

5.

Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis.

Cohen MJ, Grossman AD, Morabito D, Knudson MM, Butte AJ, Manley GT.

Crit Care. 2010;14(1):R10. doi: 10.1186/cc8864. Epub 2010 Feb 2.

6.
7.

Translational systems biology of inflammation and healing.

Vodovotz Y.

Wound Repair Regen. 2010 Jan-Feb;18(1):3-7. doi: 10.1111/j.1524-475X.2009.00566.x.

8.

Development of a three dimensional multiscale computational model of the human epidermis.

Adra S, Sun T, MacNeil S, Holcombe M, Smallwood R.

PLoS One. 2010 Jan 14;5(1):e8511. doi: 10.1371/journal.pone.0008511.

9.

Use of an artificial neural network to predict head injury outcome.

Rughani AI, Dumont TM, Lu Z, Bongard J, Horgan MA, Penar PL, Tranmer BI.

J Neurosurg. 2010 Sep;113(3):585-90. doi: 10.3171/2009.11.JNS09857.

PMID:
20020844
10.

Characterization of patient specific signaling via augmentation of Bayesian networks with disease and patient state nodes.

Sachs K, Gentles AJ, Youland R, Itani S, Irish J, Nolan GP, Plevritis SK.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:6624-7. doi: 10.1109/IEMBS.2009.5332563.

11.

Using hierarchical dynamic Bayesian networks to investigate dynamics of organ failure in patients in the Intensive Care Unit.

Peelen L, de Keizer NF, Jonge Ed, Bosman RJ, Abu-Hanna A, Peek N.

J Biomed Inform. 2010 Apr;43(2):273-86. doi: 10.1016/j.jbi.2009.10.002. Epub 2009 Oct 27.

12.

Prognostic and pathogenetic value of combining clinical and biochemical indices in patients with acute lung injury.

Ware LB, Koyama T, Billheimer DD, Wu W, Bernard GR, Thompson BT, Brower RG, Standiford TJ, Martin TR, Matthay MA; NHLBI ARDS Clinical Trials Network.

Chest. 2010 Feb;137(2):288-96. doi: 10.1378/chest.09-1484. Epub 2009 Oct 26.

13.

The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.

Caspi R, Altman T, Dale JM, Dreher K, Fulcher CA, Gilham F, Kaipa P, Karthikeyan AS, Kothari A, Krummenacker M, Latendresse M, Mueller LA, Paley S, Popescu L, Pujar A, Shearer AG, Zhang P, Karp PD.

Nucleic Acids Res. 2010 Jan;38(Database issue):D473-9. doi: 10.1093/nar/gkp875. Epub 2009 Oct 22.

14.

NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction.

Nielsen M, Lund O.

BMC Bioinformatics. 2009 Sep 18;10:296. doi: 10.1186/1471-2105-10-296.

15.

Bridging the gap between systems biology and medicine.

Clermont G, Auffray C, Moreau Y, Rocke DM, Dalevi D, Dubhashi D, Marshall DR, Raasch P, Dehne F, Provero P, Tegner J, Aronow BJ, Langston MA, Benson M.

Genome Med. 2009 Sep 29;1(9):88. doi: 10.1186/gm88.

16.

Early cytokine production risk stratifies trauma patients for multiple organ failure.

Jastrow KM 3rd, Gonzalez EA, McGuire MF, Suliburk JW, Kozar RA, Iyengar S, Motschall DA, McKinley BA, Moore FA, Mercer DW.

J Am Coll Surg. 2009 Sep;209(3):320-31. doi: 10.1016/j.jamcollsurg.2009.05.002. Epub 2009 Jun 28.

PMID:
19717036
17.

Early loss of heart rate complexity predicts mortality regardless of mechanism, anatomic location, or severity of injury in 2178 trauma patients.

Riordan WP Jr, Norris PR, Jenkins JM, Morris JA Jr.

J Surg Res. 2009 Oct;156(2):283-9. doi: 10.1016/j.jss.2009.03.086. Epub 2009 May 8.

PMID:
19592027
18.

Cell death serum biomarkers are early predictors for survival in severe septic patients with hepatic dysfunction.

Hofer S, Brenner T, Bopp C, Steppan J, Lichtenstern C, Weitz J, Bruckner T, Martin E, Hoffmann U, Weigand MA.

Crit Care. 2009;13(3):R93. doi: 10.1186/cc7923. Epub 2009 Jun 18.

19.

Rapid prediction of trauma patient survival by analysis of heart rate complexity: impact of reducing data set size.

Batchinsky AI, Salinas J, Kuusela T, Necsoiu C, Jones J, Cancio LC.

Shock. 2009 Dec;32(6):565-71. doi: 10.1097/SHK.0b013e3181a993dc.

PMID:
19487984
20.

Immunomodulation in the critically ill.

Webster NR, Galley HF.

Br J Anaesth. 2009 Jul;103(1):70-81. doi: 10.1093/bja/aep128. Epub 2009 May 27. Review.

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