Abstract: In variants, the method for determining a sample recommendation can include: determining characteristic values for a sample, determining target characteristic values, determining a similarity score for the sample based on the characteristic values for the sample and the target characteristic values, training a prediction model, and determining a sample recommendation.

Abstract: A Myelin Basic Protein-luciferase bioimaging noninvasive model to visualize and quantify demyelination and remyelination events in the CNS at transcriptional level in vivo is provided. Luciferase-expressing transgenic animals were generated with myelin basic protein (MBP) promoter coupled to firefly luciferase reporter. The MBP-luci bioimaging model provides a means to monitor myelination status and the efficacy of a remyelination modulating test compound. An advantage of bioimaging is that a subject in a longitudinal study can serve as its own control. The same subject can be tracked over a demyelination and remyelination process continuously over a period of at least 10 weeks. This model enables normalization of individual animal imaging response and provides quality data with considerably reduced variance. In addition, because cohorts of animals need not be sacrificed at different time points, reduction in the number necessary for a compound efficacy study is possible.

Abstract: An incontinence management system for monitoring wetness in one or more absorbent articles, includes input for receiving one or more sensor signals indicative of a presence of wetness in an absorbent article, processor for processing the one or more sensor signals and for performing an analysis of the signals to characterize wetness events occurring in an absorbent article and user interface for communicating with a user of the system. A mathematical model is used to characterize wetness events, receiving as inputs variables derived from sensor signals and optionally, patient and demographic data. The mathematical model can be configured and/or re-configured utilizing observation data obtained while monitoring a patient for wetness. A diaper for use with such as system is also disclosed.

Abstract: A Myelin Basic Protein-luciferase bioimaging noninvasive model to visualize and quantify demyelination and remyelination events in the CNS at transcriptional level in vivo is provided. Luciferase-expressing transgenic animals were generated with myelin basic protein (MBP) promoter coupled to firefly luciferase reporter. The MBP-luci bioimaging model provides a means to monitor myelination status and the efficacy of a remyelination modulating test compound. An advantage of bioimaging is that a subject in a longitudinal study can serve as its own control. The same subject can be tracked over a demyelination and remyelination process continuously over a period of at least 10 weeks. This model enables normalization of individual animal imaging response and provides quality data with considerably reduced variance. In addition, because cohorts of animals need not be sacrificed at different time points, reduction in the number necessary for a compound efficacy study is possible.

Abstract: An incontinence management system for monitoring wetness in one or more absorbent articles, includes input for receiving one or more sensor signals indicative of a presence of wetness in an absorbent article, processor for processing the one or more sensor signals and for performing an analysis of the signals to characterise wetness events occurring in an absorbent article and user interface for communicating with a user of the system. A mathematical model is used to characterise wetness events, receiving as inputs variables derived from sensor signals and optionally, patient and demographic data. The mathematical model can be configured and/or re-configured utilising observation data obtained while monitoring a patient for wetness. A diaper for use with such as system is also disclosed.

Abstract: An incontinence management system for monitoring wetness in one or more absorbent articles, includes input for receiving one or more sensor signals indicative of a presence of wetness in an absorbent article, processor for processing the one or more sensor signals and for performing an analysis of the signals to characterise wetness events occurring in an absorbent article and user interface for communicating with a user of the system. A mathematical model is used to characterise wetness events, receiving as inputs variables derived from sensor signals and optionally, patient and demographic data. The mathematical model can be configured and/or re-configured utilising observation data obtained while monitoring a patient for wetness. A diaper for use with such as system is also disclosed.

Abstract: An incontinence management system for monitoring wetness in one or more absorbent articles, includes input for receiving one or more sensor signals indicative of a presence of wetness in an absorbent article, processor for processing the one or more sensor signals and for performing an analysis of the signals to characterise wetness events occurring in an absorbent article and user interface for communicating with a user of the system. A mathematical model is used to characterise wetness events, receiving as inputs variables derived from sensor signals and optionally, patient and demographic data. The mathematical model can be configured and/or re-configured utilising observation data obtained while monitoring a patient for wetness. A diaper for use with such as system is also disclosed.