@article{patel_brady_scharf_2020, title={Single-Incision Laparoscopic Deroofing and Omentalization of a Cystic Renal Adenoma in a Dog}, volume={56}, ISSN={["1547-3317"]}, DOI={10.5326/JAAHA-MS-6991}, abstractNote={ABSTRACT}, number={6}, journal={JOURNAL OF THE AMERICAN ANIMAL HOSPITAL ASSOCIATION}, author={Patel, Nikesh J. and Brady, Rachel and Scharf, Valery F.}, year={2020}, pages={331–335} }
 @article{brady_frank-ito_tran_janum_møller_brix_ottesen_mehlsen_olufsen_2018, title={Personalized mathematical model of endotoxin-induced inflammatory responses in young men and associated changes in heart rate variability}, volume={13}, ISSN={0973-5348 1760-6101}, url={http://dx.doi.org/10.1051/mmnp/2018031}, DOI={10.1051/mmnp/2018031}, abstractNote={The objective of this study was to develop a personalized inflammatory model and estimate subject-specific parameters that could be related to changes in heart rate variability (HRV), a measure that can be obtained non-invasively in real time. An inflammatory model was developed and calibrated to measurements of interleukin-6 (IL-6), tumor necrosis factor (TNF-alpha), interleukin-8 (IL-8) and interleukin-10 (IL-10) over 8 hours in 20 subjects administered a low dose of lipopolysaccharide. For this model, we estimated 11 subject-specific parameters for all 20 subjects. Estimated parameters were correlated with changes in HRV, computed from ECG measurements using a built-in HRV module available in Labchart. Results revealed that patients could be separated into two groups expressing normal and abnormal responses to endotoxin. Abnormal responders exhibited increased HRV, most likely as a result of increased vagal firing. The observed correlation between the inflammatory response and HRV brings us a step further towards understanding if HRV predictions can be used as a marker for inflammation. Analyzing HRV parameters provides an easy, non-invasively obtained measure that can be used to assess the state of the subject, potentially translating to identifying a non-invasive marker that can be used to detect the onset of sepsis.}, number={5}, journal={Mathematical Modelling of Natural Phenomena}, publisher={EDP Sciences}, author={Brady, R. and Frank-Ito, D.O. and Tran, H.T. and Janum, S. and Møller, K. and Brix, S. and Ottesen, J.T. and Mehlsen, J. and Olufsen, M.S.}, editor={Maruta, K. and Minaev, S. and Il Kim, N. and Im, H. and Gubernov, V.Editors}, year={2018}, pages={42} }