Abstract: The present invention relates to the identification of a group of microorganisms, which are relatively abundant in the microbial communities associated with fruits and vegetables typically consumed raw and therefore transient or permanent members of the human microbiota. The consumption of mixtures of these microbes at relevant doses will produce a beneficial effect in the host by reducing the propensity to diabetes, obesity and metabolic syndrome mediated in part by production of short chain fatty acids to enhance colonic butyrate production. Therapeutic methods of the invention involve the use of live microorganisms or metabolites derived from said microorganisms to establish a microbial composition in the mammalian host that will improve significantly the ability to control weight, reduce the onset of diabetes, obesity and metabolic syndrome, and improve overall health.

Abstract: The disclosed embodiments relate to computer-implemented systems and processes that facilitate a prediction of occurrences of product-specific events during targeted temporal intervals using trained artificial intelligence processes. For example, an apparatus may generate an input dataset based on elements of first interaction data associated with an occurrence of a first event. Based on an application of a trained artificial intelligence process to the input dataset, the apparatus may generate an element of output data representative of a predicted likelihood of an occurrence of each of a plurality of second events during a target temporal interval associated with the first event. The apparatus may also transmit the elements of output data to a computing system, which may perform operations that are consistent with the elements of output data.

Abstract: The disclosed embodiments include computer-implemented apparatuses and processes that dynamically predict future occurrences of targeted events using adaptively trained machine-learning or artificial-intelligence processes. For example, an apparatus may generate an input dataset based on interaction data associated with a prior temporal interval, and may apply a trained, gradient-boosted, decision-tree process to the input dataset. Based on the application of the trained, gradient-boosted, decision-tree process to the input dataset, the apparatus may generate output data representative of a predicted likelihood of an occurrence of each of a plurality of targeted events during a future temporal interval, which may be separated from the prior temporal interval by a corresponding buffer interval. The apparatus may also transmit the output data to a computing system, and the computing system may transmit digital content to a device based on at least a portion of the output data.

Abstract: The present invention relates to the identification of a group of microorganisms, which are relatively abundant in the microbial communities associated with fruits and vegetables typically consumed raw and therefore transient or permanent members of the human microbiota. The consumption of mixtures of these microbes at relevant doses will produce a beneficial effect in the host by reducing the propensity to diabetes, obesity and metabolic syndrome mediated in part by production of short chain fatty acids to enhance colonic butyrate production. Therapeutic methods of the invention involve the use of live microorganisms or metabolites derived from said microorganisms to establish a microbial composition in the mammalian host that will improve significantly the ability to control weight, reduce the onset of diabetes, obesity and metabolic syndrome, and improve overall health.

Abstract: The present invention relates to the identification of a group of microorganisms, which are relatively abundant in the microbial communities associated with fruits and vegetables typically consumed raw and therefore transient or permanent members of the human microbiota. The consumption of mixtures of these microbes at relevant doses will produce a beneficial effect in the host by reducing the propensity to diabetes, obesity and metabolic syndrome mediated in part by production of short chain fatty acids to enhance colonic butyrate production. Therapeutic methods of the invention involve the use of live microorganisms or metabolites derived from said microorganisms to establish a microbial composition in the mammalian host that will improve significantly the ability to control weight, reduce the onset of diabetes, obesity and metabolic syndrome, and improve overall health.

Abstract: The present invention relates to the identification of a group of microorganisms, which are relatively abundant in the microbial communities associated with fruits and vegetables typically consumed raw and therefore transient or permanent members of the human microbiota. The consumption of mixtures of these microbes at relevant doses will produce a beneficial effect in the host by reducing the propensity to diabetes, obesity and metabolic syndrome mediated in part by production of short chain fatty acids to enhance colonic butyrate production. Therapeutic methods of the invention involve the use of live microorganisms or metabolites derived from said microorganisms to establish a microbial composition in the mammalian host that will improve significantly the ability to control weight, reduce the onset of diabetes, obesity and metabolic syndrome, and improve overall health.