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Items: 6

1.

Interleukin-8 blockade prevents activated endothelial cell mediated proliferation and chemoresistance of acute myeloid leukemia.

Vijay V, Miller R, Vue GS, Pezeshkian MB, Maywood M, Ast AM, Drusbosky LM, Pompeu Y, Salgado AD, Lipten SD, Geddes T, Blenc AM, Ge Y, Ostrov DA, Cogle CR, Madlambayan GJ.

Leuk Res. 2019 Sep;84:106180. doi: 10.1016/j.leukres.2019.106180. Epub 2019 Jul 3.

PMID:
31299413
2.

A genomics-informed computational biology platform prospectively predicts treatment responses in AML and MDS patients.

Drusbosky LM, Singh NK, Hawkins KE, Salan C, Turcotte M, Wise EA, Meacham A, Vijay V, Anderson GG, Kim CC, Radhakrishnan S, Ullal Y, Talawdekar A, Sikora H, Nair P, Khanna-Gupta A, Abbasi T, Vali S, Guha S, Farhadfar N, Murthy HS, Horn BN, Leather HL, Castillo P, Tucker C, Cline C, Pettiford L, Lamba JK, Moreb JS, Brown RA, Norkin M, Hiemenz JW, Hsu JW, Slayton WB, Wingard JR, Cogle CR.

Blood Adv. 2019 Jun 25;3(12):1837-1847. doi: 10.1182/bloodadvances.2018028316.

3.

Predicting response to BET inhibitors using computational modeling: A BEAT AML project study.

Drusbosky LM, Vidva R, Gera S, Lakshminarayana AV, Shyamasundar VP, Agrawal AK, Talawdekar A, Abbasi T, Vali S, Tognon CE, Kurtz SE, Tyner JW, McWeeney SK, Druker BJ, Cogle CR.

Leuk Res. 2019 Feb;77:42-50. doi: 10.1016/j.leukres.2018.11.010. Epub 2019 Jan 7.

4.

Computational modeling of early T-cell precursor acute lymphoblastic leukemia (ETP-ALL) to identify personalized therapy using genomics.

Kumar A, Drusbosky LM, Meacham A, Turcotte M, Bhargav P, Vasista S, Usmani S, Pampana A, Basu K, Tyagi A, Lala D, Rajagopalan S, Birajdar SC, Alam A, Ghosh Roy K, Abbasi T, Vali S, Sengar M, Chinnaswamy G, Shah BD, Cogle CR.

Leuk Res. 2019 Mar;78:3-11. doi: 10.1016/j.leukres.2019.01.003. Epub 2019 Jan 7.

5.

Using social media to assess care coordination goals and plans for leukemia patients and survivors.

Strekalova YA, Hawkins KE, Drusbosky LM, Cogle CR.

Transl Behav Med. 2018 May 23;8(3):481-491. doi: 10.1093/tbm/ibx075.

PMID:
29800400
6.

Computational Modeling and Treatment Identification in the Myelodysplastic Syndromes.

Drusbosky LM, Cogle CR.

Curr Hematol Malig Rep. 2017 Oct;12(5):478-483. doi: 10.1007/s11899-017-0412-z. Review.

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