Abstract: Methods of administering sotalol hydrochloride in an amount effective for treating one or more cardiovascular disease or disorder in pediatric patients are described and include IV and/or oral doses based on age-specific creatinine clearance ranges.

Abstract: The instant disclosure relates to methods for the treatment of an individual having TA-TMA, In one aspect, the methods encompass administration of a C5 inhibitor, more particularly eculizumab, or an antigen-binding fragment thereof. The disclosed methods, in one aspect, may be used for the treatment of individuals having TA-TMA and clinically significant bleeding.

Abstract: Described are methods for treating a patient with a therapeutic drug using a combination of genetic and non-genetic information to tailor the dose of the drug to the patient.

Abstract: Described are methods for treating a patient with a therapeutic drug using a combination of genetic and non-genetic information to tailor the dose of the drug to the patient.

Abstract: The invention provides systems and methods for producing a ranked list of drugs for administration to a patient in need thereof, the ranked list produced by calculating for each drug a score that is the product of a patient vector, a weighting vector, and the drug's column value in a disease matrix.

Abstract: The invention provides systems and methods for producing a ranked list of drugs for administration to a patient in need thereof, the ranked list produced by calculating for each drug a score that is the product of a patient vector, a weighting vector, and the drug's column value in a disease matrix.

Abstract: The invention provides population models, methods, and algorithms for targeting a dosing regimen or compound selection to an individual patient. The methods and algorithms of the invention utilize population models that incorporate genotype information for genes encoding drug metabolizing enzymes for one or more compounds of interest. The methods allow integration of genotype information for one or more genes encoding a drug metabolizing enzyme, particularly a cytochrome P450 gene with patient data. The methods allow integration of genotype information and the effect of one or more compounds on one or more drug metabolizing enzymes. The methods allow iterative feedback of drug metabolizing data obtained from a patient into the process of generating a dosage regimen recommendation for a compound of interest for an individual patient.

Abstract: The invention provides population models, methods, and algorithms for targeting a dosing regimen or compound selection to an individual patient. The methods and algorithms of the invention utilize population models that incorporate genotype information for genes encoding drug metabolizing enzymes for one or more compounds of interest. The methods allow integration of genotype information for one or more genes encoding a drug metabolizing enzyme, particularly a cytochrome P450 gene with patient data. The methods allow integration of genotype information and the effect of one or more compounds on one or more drug metabolizing enzymes. The methods allow iterative feedback of drug metabolizing data obtained from a patient into the process of generating a dosage regimen recommendation for a compound of interest for an individual patient.