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Year Number of Results
1977 1
1978 1
1994 1
2000 1
2001 1
2003 2
2005 1
2006 1
2007 1
2008 2
2009 4
2010 8
2011 7
2012 4
2013 7
2014 7
2015 9
2016 2
2017 11
2018 12
2019 7
2020 15
2021 14
2022 11
2023 14
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123 results

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Page 1
Benchmarking heart rate variability toolboxes.
Vest AN, Li Q, Liu C, Nemati S, Shah A, Clifford GD. Vest AN, et al. J Electrocardiol. 2017 Nov-Dec;50(6):744-747. doi: 10.1016/j.jelectrocard.2017.08.006. Epub 2017 Aug 8. J Electrocardiol. 2017. PMID: 28965961 Free PMC article.
Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts.
Woo XY, Giordano J, Srivastava A, Zhao ZM, Lloyd MW, de Bruijn R, Suh YS, Patidar R, Chen L, Scherer S, Bailey MH, Yang CH, Cortes-Sanchez E, Xi Y, Wang J, Wickramasinghe J, Kossenkov AV, Rebecca VW, Sun H, Mashl RJ, Davies SR, Jeon R, Frech C, Randjelovic J, Rosains J, Galimi F, Bertotti A, Lafferty A, O'Farrell AC, Modave E, Lambrechts D, Ter Brugge P, Serra V, Marangoni E, El Botty R, Kim H, Kim JI, Yang HK, Lee C, Dean DA 2nd, Davis-Dusenbery B, Evrard YA, Doroshow JH, Welm AL, Welm BE, Lewis MT, Fang B, Roth JA, Meric-Bernstam F, Herlyn M, Davies MA, Ding L, Li S, Govindan R, Isella C, Moscow JA, Trusolino L, Byrne AT, Jonkers J, Bult CJ, Medico E, Chuang JH; PDXNET Consortium; EurOPDX Consortium. Woo XY, et al. Nat Genet. 2021 Jan;53(1):86-99. doi: 10.1038/s41588-020-00750-6. Epub 2021 Jan 7. Nat Genet. 2021. PMID: 33414553 Free PMC article.
Control of biogenic H(2)S production with nitrite and molybdate.
Nemati M, Mazutinec TJ, Jenneman GE, Voordouw G. Nemati M, et al. J Ind Microbiol Biotechnol. 2001 Jun;26(6):350-5. doi: 10.1038/sj.jim.7000142. J Ind Microbiol Biotechnol. 2001. PMID: 11571618
Addition of 0.1 mM nitrite or 0.024 mM molybdate at the start of growth prevented the production of H(2)S by strain Lac6. With exponentially growing cultures, higher levels of inhibitors, 0.25 mM nitrite or 0.095 mM molybdate, were required to suppress the productio …
Addition of 0.1 mM nitrite or 0.024 mM molybdate at the start of growth prevented the production of H(2)S by strain Lac6. With …
Integrative quantitative-phase and airy light-sheet imaging.
Subedi NR, Jung PS, Bredeweg EL, Nemati S, Baker SE, Christodoulides DN, Vasdekis AE. Subedi NR, et al. Sci Rep. 2020 Nov 19;10(1):20150. doi: 10.1038/s41598-020-76730-x. Sci Rep. 2020. PMID: 33214600 Free PMC article.
Multi-omics comparison of malignant and normal uveal melanocytes reveals molecular features of uveal melanoma.
Gentien D, Saberi-Ansari E, Servant N, Jolly A, de la Grange P, Némati F, Liot G, Saule S, Teissandier A, Bourc'his D, Girard E, Wong J, Masliah-Planchon J, Narmanli E, Liu Y, Torun E, Goulancourt R, Rodrigues M, Gaudé LV, Reyes C, Bazire M, Chenegros T, Henry E, Rapinat A, Bohec M, Baulande S, M'kacher R, Jeandidier E, Nicolas A, Ciriello G, Margueron R, Decaudin D, Cassoux N, Piperno-Neumann S, Stern MH, Gibcus JH, Dekker J, Heard E, Roman-Roman S, Waterfall JJ. Gentien D, et al. Cell Rep. 2023 Sep 26;42(9):113132. doi: 10.1016/j.celrep.2023.113132. Epub 2023 Sep 13. Cell Rep. 2023. PMID: 37708024 Free PMC article.
A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study.
Lam JY, Shimizu C, Tremoulet AH, Bainto E, Roberts SC, Sivilay N, Gardiner MA, Kanegaye JT, Hogan AH, Salazar JC, Mohandas S, Szmuszkovicz JR, Mahanta S, Dionne A, Newburger JW, Ansusinha E, DeBiasi RL, Hao S, Ling XB, Cohen HJ, Nemati S, Burns JC; Pediatric Emergency Medicine Kawasaki Disease Research Group; CHARMS Study Group. Lam JY, et al. Lancet Digit Health. 2022 Oct;4(10):e717-e726. doi: 10.1016/S2589-7500(22)00149-2. Lancet Digit Health. 2022. PMID: 36150781 Free PMC article.
All features were prospectively collected at the time of initial evaluation from patients diagnosed with Kawasaki disease or other febrile illness between Jan 1, 2009, and Dec 31, 2019, at Rady Children's Hospital in San Diego (CA, USA). For patients with MIS-C, the same d …
All features were prospectively collected at the time of initial evaluation from patients diagnosed with Kawasaki disease or other febrile i …
Leveraging clinical data across healthcare institutions for continual learning of predictive risk models.
Amrollahi F, Shashikumar SP, Holder AL, Nemati S. Amrollahi F, et al. Sci Rep. 2022 May 19;12(1):8380. doi: 10.1038/s41598-022-12497-7. Sci Rep. 2022. PMID: 35590018 Free PMC article.
In the sepsis prediction task, after incremental training of a deep learning model across four hospital systems (namely hospitals H-A, H-B, H-C, and H-D), WUPERR maintained the highest positive predictive value across the first three hospitals compared …
In the sepsis prediction task, after incremental training of a deep learning model across four hospital systems (namely hospitals H-A …
Free-living amoebae in an oil refinery wastewater treatment facility.
Andalib S, Mohammad Rahimi H, Niyyati M, Shalileh F, Nemati S, Rouhani S, Zali MR, Mirjalali H, Karanis P. Andalib S, et al. Sci Total Environ. 2022 Sep 15;839:156301. doi: 10.1016/j.scitotenv.2022.156301. Epub 2022 May 27. Sci Total Environ. 2022. PMID: 35636544
There was no statistical correlation between pH, NH(3), PO(4), H(2)S, and TDS with the presence of FLA. A statistical correlation between the presence of FLA and the type of wastewater treatment plants (WWTPs) was significant (P-value = 0.011). ...
There was no statistical correlation between pH, NH(3), PO(4), H(2)S, and TDS with the presence of FLA. A statistical correlat …
123 results