Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 32

1.

Clustering of co-occurring conditions in autism spectrum disorder during early childhood: A retrospective analysis of medical claims data.

Vargason T, Frye RE, McGuinness DL, Hahn J.

Autism Res. 2019 May 31. doi: 10.1002/aur.2128. [Epub ahead of print]

PMID:
31149786
2.

Maternal metabolic profile predicts high or low risk of an autism pregnancy outcome.

Hollowood K, Melnyk S, Pavliv O, Evans T, Sides A, Schmidt RJ, Hertz-Picciotto I, Elms W, Guerrero E, Kruger U, Hahn J, James SJ.

Res Autism Spectr Disord. 2018 Dec;56:72-82. doi: 10.1016/j.rasd.2018.09.003. Epub 2018 Sep 19.

PMID:
31086561
3.

Comparison of Three Clinical Trial Treatments for Autism Spectrum Disorder Through Multivariate Analysis of Changes in Metabolic Profiles and Adaptive Behavior.

Vargason T, Kruger U, Roth E, Delhey LM, Tippett M, Rose S, Bennuri SC, Slattery JC, Melnyk S, James SJ, Frye RE, Hahn J.

Front Cell Neurosci. 2018 Dec 19;12:503. doi: 10.3389/fncel.2018.00503. eCollection 2018.

4.
5.

Gastrointestinal Symptoms and Oral Antibiotic Use in Children with Autism Spectrum Disorder: Retrospective Analysis of a Privately Insured U.S. Population.

Vargason T, McGuinness DL, Hahn J.

J Autism Dev Disord. 2019 Feb;49(2):647-659. doi: 10.1007/s10803-018-3743-2.

PMID:
30178105
6.

Intravenous immunoglobulin for the treatment of autoimmune encephalopathy in children with autism.

Connery K, Tippett M, Delhey LM, Rose S, Slattery JC, Kahler SG, Hahn J, Kruger U, Cunningham MW, Shimasaki C, Frye RE.

Transl Psychiatry. 2018 Aug 10;8(1):148. doi: 10.1038/s41398-018-0214-7.

7.

Multivariate techniques enable a biochemical classification of children with autism spectrum disorder versus typically-developing peers: A comparison and validation study.

Howsmon DP, Vargason T, Rubin RA, Delhey L, Tippett M, Rose S, Bennuri SC, Slattery JC, Melnyk S, James SJ, Frye RE, Hahn J.

Bioeng Transl Med. 2018 Jun 19;3(2):156-165. doi: 10.1002/btm2.10095. eCollection 2018 May.

8.

Kinesin-2 heterodimerization alters entry into a processive run along the microtubule but not stepping within the run.

Quinn SM, Howsmon DP, Hahn J, Gilbert SP.

J Biol Chem. 2018 Aug 31;293(35):13389-13400. doi: 10.1074/jbc.RA118.002767. Epub 2018 Jul 10.

PMID:
29991594
9.

Investigating Plasma Amino Acids for Differentiating Individuals with Autism Spectrum Disorder and Typically Developing Peers.

Vargason T, Kruger U, McGuinness DL, Adams JB, Geis E, Gehn E, Coleman D, Hahn J.

Res Autism Spectr Disord. 2018 Jun;50:60-72. doi: 10.1016/j.rasd.2018.03.004. Epub 2018 Mar 30.

10.

Erythrocyte fatty acid profiles in children are not predictive of autism spectrum disorder status: a case control study.

Howsmon DP, Adams JB, Kruger U, Geis E, Gehn E, Hahn J.

Biomark Res. 2018 Mar 14;6:12. doi: 10.1186/s40364-018-0125-z. eCollection 2018.

11.

Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas.

Howsmon DP, Baysal N, Buckingham BA, Forlenza GP, Ly TT, Maahs DM, Marcal T, Towers L, Mauritzen E, Deshpande S, Huyett LM, Pinsker JE, Gondhalekar R, Doyle FJ 3rd, Dassau E, Hahn J, Bequette BW.

J Diabetes Sci Technol. 2018 May;12(3):599-607. doi: 10.1177/1932296818755173. Epub 2018 Feb 1.

12.

Differences in fecal microbial metabolites and microbiota of children with autism spectrum disorders.

Kang DW, Ilhan ZE, Isern NG, Hoyt DW, Howsmon DP, Shaffer M, Lozupone CA, Hahn J, Adams JB, Krajmalnik-Brown R.

Anaerobe. 2018 Feb;49:121-131. doi: 10.1016/j.anaerobe.2017.12.007. Epub 2017 Dec 22.

PMID:
29274915
13.

Empirical modeling of T cell activation predicts interplay of host cytokines and bacterial indole.

Steinmeyer S, Howsmon DP, Alaniz RC, Hahn J, Jayaraman A.

Biotechnol Bioeng. 2017 Nov;114(11):2660-2667. doi: 10.1002/bit.26371. Epub 2017 Jul 27.

14.

Classification and adaptive behavior prediction of children with autism spectrum disorder based upon multivariate data analysis of markers of oxidative stress and DNA methylation.

Howsmon DP, Kruger U, Melnyk S, James SJ, Hahn J.

PLoS Comput Biol. 2017 Mar 16;13(3):e1005385. doi: 10.1371/journal.pcbi.1005385. eCollection 2017 Mar.

15.

Continuous Glucose Monitoring Enables the Detection of Losses in Infusion Set Actuation (LISAs).

Howsmon DP, Cameron F, Baysal N, Ly TT, Forlenza GP, Maahs DM, Buckingham BA, Hahn J, Bequette BW.

Sensors (Basel). 2017 Jan 15;17(1). pii: E161. doi: 10.3390/s17010161.

16.

Significant Association of Urinary Toxic Metals and Autism-Related Symptoms-A Nonlinear Statistical Analysis with Cross Validation.

Adams J, Howsmon DP, Kruger U, Geis E, Gehn E, Fimbres V, Pollard E, Mitchell J, Ingram J, Hellmers R, Quig D, Hahn J.

PLoS One. 2017 Jan 9;12(1):e0169526. doi: 10.1371/journal.pone.0169526. eCollection 2017.

17.

Mathematical modeling of the methionine cycle and transsulfuration pathway in individuals with autism spectrum disorder.

Vargason T, Howsmon DP, Melnyk S, James SJ, Hahn J.

J Theor Biol. 2017 Mar 7;416:28-37. doi: 10.1016/j.jtbi.2016.12.021. Epub 2016 Dec 29.

18.

On the Use of Multivariate Methods for Analysis of Data from Biological Networks.

Vargason T, Howsmon DP, McGuinness DL, Hahn J.

Processes (Basel). 2017;5(3). pii: 36. doi: 10.3390/pr5030036. Epub 2017 Jul 3.

19.

Regularization Techniques to Overcome Overparameterization of Complex Biochemical Reaction Networks.

Howsmon DP, Hahn J.

IEEE Life Sci Lett. 2016 Sep;2(3):31-34. doi: 10.1109/LLS.2016.2646498. Epub 2016 Dec 29.

20.

Experimental and computational optimization of an Escherichia coli co-culture for the efficient production of flavonoids.

Jones JA, Vernacchio VR, Sinkoe AL, Collins SM, Ibrahim MHA, Lachance DM, Hahn J, Koffas MAG.

Metab Eng. 2016 May;35:55-63. doi: 10.1016/j.ymben.2016.01.006. Epub 2016 Feb 6.

PMID:
26860871

Supplemental Content

Loading ...
Support Center