Abstract: Activity tracking and classification for diabetes management is disclosed. In an example, an application operating on a user device or a server is configured to collect and synchronize lifelog data of a patient to atomic time intervals based on a time the lifelog data occurred or was recorded. The application or server is configured to segment the atomic intervals into daily activity intervals of first-level activities by determining if consecutive atomic intervals have a similar pattern of physical activity using at least a portion of the lifelog data. The application or server next selects a common daily activity model that corresponds to the patient and performs second-level activity recognition for each of the daily activity intervals using the selected common daily activity model. The application or server then generates, for display a personal chronical of the recognized second-level activities.

Abstract: Activation of brown adipose tissue, treatment of obesity and/or treatment of obesity-related disorders in human or non-human animal subjects by administering to the subject a potassium channel inhibiting agent. The potassium channel inhibiting agent may comprise ShK toxin or a modified ShK toxin. Examples of modified ShK toxins include ShK-186.

Abstract: The present invention is related generally to a method for screening subjects to determine those subjects more likely to develop diabetes by quantization of insulin producing cells. The present invention is also related to the diagnosis of diabetes and related to monitor disease progression or treatment efficacy of candidate drugs.

Abstract: Activation of brown adipose tissue, treatment of obesity and/or treatment of obesity-related disorders in human or non-human animal subjects by administering to the subject a potassium channel inhibiting agent. The potassium channel inhibiting agent may comprise ShK toxin or a modified ShK toxin. Examples of modified ShK toxins include ShK-186.

Abstract: Activation of brown adipose tissue, treatment of obesity and/or treatment of obesity-related disorders in human or non-human animal subjects by administering to the subject a potassium channel inhibiting agent. The potassium channel inhibiting agent may comprise ShK toxin or a modified ShK toxin. Examples of modified ShK toxins include ShK-186.

Abstract: Provided are methods of identifying Metabolic Syndrome phenotypes for an organism or a biological sample derived therefrom which methods are based on detecting a polymorphism, haplotype, haplotype group, or haplotype subgroup in the mitochondrial genome of the organism and correlating the polymorphism or haplotype to a Metabolic Syndrome phenotype. Also provided are systems or kits for the detection of such polymorphisms or haplotypes and the correlation of the polymorphisms or haplotypes to a Metabolic Syndrome phenotype. Provided are methods of identifying a modulator of a Metabolic Syndrome phenotype and kits for the treatment of a Metabolic Syndrome phenotype.

Abstract: The present invention provides methods, compositions, and kits useful for modulating insulin/glucose homeostasis in a subject by modulating CAP/SORBS1. In addition, the invention provides a variety of prescreening and screening methods aimed at identifying agents that modulate insulin/glucose homeostasis. Methods of the invention can involve assaying test agent binding to CAP/SORBS1 polypeptides or polynucleotides. Alternatively, test agents can be screened for their ability to alter the level of CAP/SORBS1 polypeptides, polynucleotides, or action.

Abstract: The present invention is related generally to a method for screening subjects to determine those subjects more likely to develop diabetes by quantization of insulin producing cells. The present invention is also related to the diagnosis of diabetes and related to monitor disease progression or treatment efficacy of candidate drugs.