Abstract: A system, method, and computer program product are provided for associating a first participant and a second participant in a social network. In one embodiment, payment is received from a first participant. Additionally, an association between the first participant and a second participant in a social network is provided, in exchange for the payment.

Abstract: A system, method, and computer program product are provided for associating a first participant and a second participant in a social network. In one embodiment, payment is received from a first participant. Additionally, an association between the first participant and a second participant in a social network is provided, in exchange for the payment.

Abstract: A system, method, and computer program product are provided for associating a first participant and a second participant in a social network. In one embodiment, payment is received from a first participant. Additionally, an association between the first participant and a second participant in a social network is provided, in exchange for the payment.

Abstract: A system, method, and computer program product are provided for associating a first participant and a second participant in a social network. In one embodiment, payment is received from a first participant. Additionally, an association between the first participant and a second participant in a social network is provided, in exchange for the payment.

Abstract: A system, method, and computer program product are provided for associating a first participant and a second participant in a social network, In one embodiment, payment is received from a first participant.

Abstract: A system, method, and computer program product are provided for associating a first participant and a second participant in a social network. In one embodiment, payment is received from a first participant. Additionally, an association between the first participant and a second participant in a social network is provided, in exchange for the payment.

Abstract: A system, method, and computer program product are provided for associating a first participant and a second participant in a social network. In one embodiment, payment is received from a first participant. Additionally, an association between the first participant and a second participant in a social network is provided, in exchange for the payment.

Abstract: The information management system disclosed enables caregivers to make better decisions by using aggregated data. The system enables the integration, validation and analysis of genetic, phenotypic and clinical data from multiple subjects. A standardized data model stores a range of patient data in standardized data classes comprising patient profile, genetic, symptomatic, treatment and diagnostic information. Data is converted into standardized data classes using a data parser specifically tailored to the source system. Relationships exist between standardized data classes, based on expert rules and statistical models, and are used to validate new data and predict phenotypic outcomes. The prediction may comprise a clinical outcome in response to a proposed intervention. The statistical models and methods for training those models may be input according to a standardized template.

Abstract: A system, method, and computer program product are provided for associating a first participant and a second participant in a social network. In one embodiment, payment is received from a first participant. Additionally, an association between the first participant and a second participant in a social network is provided, in exchange for the payment.

Abstract: The information management system disclosed enables caregivers to make better decisions, faster, using aggregated genetic and phenotypic data. The system enables the integration, validation and analysis of genetic, phenotypic and clinical data from multiple subjects who may be at distributed facilities. A standardized data model stores a range of patient data in standardized data classes that encompass patient profile information, patient symptomatic information, patient treatment information, and patient diagnostic information including genetic information. Data from other systems is converted into the format of the standardized data classes using a data parser, or cartridge, specifically tailored to the source system. Relationships exist between standardized data classes that are based on expert rules and statistical models. The relationships are used both to validate new data, and to predict phenotypic outcomes based on available data.