Abstract: The application relates to devices and methods for determining an administration regimen of a drug to a subject. Determining an administration regimen for a subject comprises computing the amount of drug to be administered to the subject per elemental period of time, and determining and evaluating combinations of at least two dosage forms that can be used to administered the amount of drug, against at least two different criteria. The methods of the invention find applications in the selection of administration regimen for drugs that are available in multiple dosage forms, and especially drugs that are administered routinely over prolonged periods, such as e.g. in the routine prophylaxis of haemophilia.

Abstract: A method includes receiving information associated with a drug product, the information comprising a plurality of characteristics; filtering the information based on at least one of the plurality of characteristics to identify one of a plurality of artificial intelligence engines; and predicting, using the one of the plurality of artificial intelligence engines that was identified, a National Drug Code (NDC) for the drug product or verifying, using the one of the plurality of intelligence engines that was identified, whether the drug product matches a target drug product.

Abstract: A method includes receiving a drug product package containing one or more drug products therein; evaluating the one or more drug products contained in the drug product package based on a plurality of drug product evaluation factors, the plurality of drug product evaluation factors including an enhanced scrutiny factor; assigning a validation score to the drug product package based on evaluating the one or more drug products contained in the drug product package, a magnitude of the validation score being greater with decreasing patient risk; and validating the drug product package.

Abstract: A method includes receiving an image of a drug product package that contains one or more drug products therein; detecting, using an artificial intelligence engine, characteristics of the image that are associated with a drug product packaging system; and generating a modified image of the drug product package based on characteristics of the drug product packaging system.

Abstract: A method includes receiving an image of a drug product package that contains one or more drug products therein, the image including labeling content displayed on a surface thereof; detecting, using an artificial intelligence engine, the labeling content on the surface of the drug product package; and generating a modified image of the drug product package that has the labeling content removed from surface thereof.

Abstract: A catalytic converter as subject of the invention comprises fibers, which fibers have a fiber surface. The converter further comprises catalytic material, substantially all of this catalytic material is present on the fiber surface. The fibers are present in the catalytic converter as discrete fibers. A method for making the catalytic converter comprises providing a bundle of discrete fibers, coating them with catalytic material and inserting the coated bundle into a can.