Michael E Brier

Summary

Affiliation: University of Louisville
Country: USA

Publications

  1. ncbi Predictive modeling for improved anemia management in dialysis patients
    Michael E Brier
    Robley Rex Veterans Administration Medical Center, Louisville, Kentucky, USA
    Curr Opin Nephrol Hypertens 20:573-6. 2011
  2. ncbi Randomized trial of model predictive control for improved anemia management
    Michael E Brier
    Department of Veterans Affairs, Louisville, Kentucky, USA
    Clin J Am Soc Nephrol 5:814-20. 2010
  3. ncbi Pharmacokinetics of linezolid in subjects with renal dysfunction
    Michael E Brier
    University of Louisville, Department of Veterans Affairs, Louisville, Kentucky 40202, USA
    Antimicrob Agents Chemother 47:2775-80. 2003
  4. ncbi Prediction of delayed renal allograft function using an artificial neural network
    Michael E Brier
    Department of Veterans Affairs, 800 Zorn Avenue, Louisville, KY 40206, USA
    Nephrol Dial Transplant 18:2655-9. 2003
  5. ncbi Using clinical information in goal-oriented learning
    Adam E Gaweda
    Department of Medicine, Division of Nephrology, University of Louisville, Louisville, KY 40292, USA
    IEEE Eng Med Biol Mag 26:27-36. 2007
  6. ncbi Model predictive control of erythropoietin administration in the anemia of ESRD
    Adam E Gaweda
    Division of Nephrology, University of Louisville, Louisville, KY 40202, USA
    Am J Kidney Dis 51:71-9. 2008
  7. ncbi Individualization of pharmacological anemia management using reinforcement learning
    Adam E Gaweda
    Department of Medicine, University of Louisville, Louisville, KY 40292, USA
    Neural Netw 18:826-34. 2005
  8. ncbi Iron, inflammation, dialysis adequacy, nutritional status, and hyperparathyroidism modify erythropoietic response
    Adam E Gaweda
    University of Louisville, Department of Medicine, Division of Nephrology, 615 South Preston Street, Louisville, KY 40202, USA
    Clin J Am Soc Nephrol 5:576-81. 2010
  9. ncbi Determining optimum hemoglobin sampling for anemia management from every-treatment data
    Adam E Gaweda
    University of Louisville, Department of Medicine, Louisville, KY 40202, USA
    Clin J Am Soc Nephrol 5:1939-45. 2010
  10. ncbi Model predictive control with reinforcement learning for drug delivery in renal anemia management
    Adam E Gaweda
    Department of Medicine, University of Louisville, Louisville, KY 40292, USA
    Conf Proc IEEE Eng Med Biol Soc 1:5177-80. 2006

Detail Information

Publications14

  1. ncbi Predictive modeling for improved anemia management in dialysis patients
    Michael E Brier
    Robley Rex Veterans Administration Medical Center, Louisville, Kentucky, USA
    Curr Opin Nephrol Hypertens 20:573-6. 2011
    ....
  2. ncbi Randomized trial of model predictive control for improved anemia management
    Michael E Brier
    Department of Veterans Affairs, Louisville, Kentucky, USA
    Clin J Am Soc Nephrol 5:814-20. 2010
    ..Variable hemoglobin (Hb) response to erythropoiesis stimulating agents may result in adverse outcomes. The utility of model predictive control for drug dosing was previously demonstrated...
  3. ncbi Pharmacokinetics of linezolid in subjects with renal dysfunction
    Michael E Brier
    University of Louisville, Department of Veterans Affairs, Louisville, Kentucky 40202, USA
    Antimicrob Agents Chemother 47:2775-80. 2003
    ..We conclude that no adjustment of the linezolid dosage is needed in subjects with renal dysfunction or subjects on hemodialysis...
  4. ncbi Prediction of delayed renal allograft function using an artificial neural network
    Michael E Brier
    Department of Veterans Affairs, 800 Zorn Avenue, Louisville, KY 40206, USA
    Nephrol Dial Transplant 18:2655-9. 2003
    ..In this study, an artificial neural network was used to predict the occurrence of DGF and compared with traditional logistical regression models for prediction of DGF...
  5. ncbi Using clinical information in goal-oriented learning
    Adam E Gaweda
    Department of Medicine, Division of Nephrology, University of Louisville, Louisville, KY 40292, USA
    IEEE Eng Med Biol Mag 26:27-36. 2007
    ..Furthermore, we have observed that it has a potential to provide even more stable anemia management than the AMP...
  6. ncbi Model predictive control of erythropoietin administration in the anemia of ESRD
    Adam E Gaweda
    Division of Nephrology, University of Louisville, Louisville, KY 40202, USA
    Am J Kidney Dis 51:71-9. 2008
    ..Variable hemoglobin (Hb) response to erythropoiesis-stimulating agents (ESAs) may result in adverse outcomes. New methods are needed to determine the appropriate dose of ESA to maintain the target Hb level...
  7. ncbi Individualization of pharmacological anemia management using reinforcement learning
    Adam E Gaweda
    Department of Medicine, University of Louisville, Louisville, KY 40292, USA
    Neural Netw 18:826-34. 2005
    ..Presented results illustrate the ability of the proposed method to achieve the therapeutic goal for individuals with different response characteristics and its potential to become an alternative to currently used techniques...
  8. ncbi Iron, inflammation, dialysis adequacy, nutritional status, and hyperparathyroidism modify erythropoietic response
    Adam E Gaweda
    University of Louisville, Department of Medicine, Division of Nephrology, 615 South Preston Street, Louisville, KY 40202, USA
    Clin J Am Soc Nephrol 5:576-81. 2010
    ....
  9. ncbi Determining optimum hemoglobin sampling for anemia management from every-treatment data
    Adam E Gaweda
    University of Louisville, Department of Medicine, Louisville, KY 40202, USA
    Clin J Am Soc Nephrol 5:1939-45. 2010
    ..We prospectively analyzed short-term Hb variability and quantified the relationship between frequency of Hb monitoring and error in Hb estimation...
  10. ncbi Model predictive control with reinforcement learning for drug delivery in renal anemia management
    Adam E Gaweda
    Department of Medicine, University of Louisville, Louisville, KY 40292, USA
    Conf Proc IEEE Eng Med Biol Soc 1:5177-80. 2006
    ..We describe a method, combining model predictive control for simulation of patient response and reinforcement learning for estimation of dosing strategy, to facilitate the management of anemia due to kidney failure...
  11. ncbi Oncostatin M receptor β and cysteine/histidine-rich 1 are biomarkers of the response to erythropoietin in hemodialysis patients
    Michael L Merchant
    Department of Medicine, University of Louisville, Louisville, Kentucky 40202, USA
    Kidney Int 79:546-54. 2011
    ..Thus, two measurable biomarkers of the response to erythropoietic-stimulating agents are present in the serum of treated patients...
  12. ncbi Pharmacokinetics of dexrazoxane in subjects with impaired kidney function
    Michael E Brier
    Department of Veterans Affairs and Division of Nephrology, University of Louisville, Louisville, Kentucky, USA
    J Clin Pharmacol 51:731-8. 2011
    ..Modeling study results suggested that equivalent exposure could be achieved if dosing was halved in subjects with CL(CR) less than 40 mL/min compared with controls...
  13. ncbi Pharmacodynamic population analysis in chronic renal failure using artificial neural networks--a comparative study
    Adam E Gaweda
    Kidney Disease Program, University of Louisville, Louisville, KY 40202, USA
    Neural Netw 16:841-5. 2003
    ..Applied in a clinical environment, such models will allow for prediction of patient response to the drug at the effect site and, subsequently, for adjusting the dosing regimen...
  14. ncbi Comparison of urea reduction ratio and hematocrit data reported in different data systems: results from the Centers for Medicare & Medicaid Services and the Renal Network Inc
    Diane L Frankenfield
    Center for Beneficiary Choices Centers for Medicare and Medicaid Services, Baltimore, MD, USA
    Am J Kidney Dis 41:433-41. 2003
    ..Urea reduction ratio (URR) and hematocrit values reported on the Centers for Medicare & Medicaid Services (CMS) claims were compared with data from two different databases...