George R. Aronoff

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Effective management of anemia due to renal failure poses many challenges to physicians. Individual response to treatment varies across patient populations and, due to the prolonged character of the therapy, changes over time. In this work, a Reinforcement Learning-based approach is proposed as an alternative method for individualization of drug(More)
Drug dosage adjustment for patients with acute or chronic kidney disease is an accepted standard of practice. The challenge is how to accurately estimate a patient's kidney function in both acute and chronic kidney disease and determine the influence of renal replacement therapies on drug disposition. Kidney Disease: Improving Global Outcomes (KDIGO) held a(More)
Linezolid is a member of a new, unique class of synthetic antibacterial agents called oxazolidinones that are effective against gram-positive bacteria, including vancomycin-resistant organisms. We tested the hypothesis that the linezolid clearance would not be altered in subjects with renal dysfunction. Twenty-four subjects with renal function that ranged(More)
Individualization of drug delivery in treatment of chronic ailments is a challenge to the physician. Variability of response across patient population requires tailoring the dosing strategies to individual's needs. We have previously demonstrated the potential of reinforcement learning methods to support the physician in the management of anemia. In this(More)
P harmacological treatment of chronic conditions often is a form of a recurrent trial and error. Typically, a physician administers a standard initial dose and observes the patient for a specific response and/or the occurrence of a side effect. Subsequently, the drug dose is adjusted in order to achieve a better response or to eliminate the dangerous side(More)
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