Abstract: The present invention provides antimicrobial feed supplement compositions comprising clay, and methods of treating microbial infections in an animal using the antimicrobial compositions.

Abstract: Feed additive compositions and methods of using the additives to improve the performance of an adult animal are disclosed. Improved performance can include reducing maintenance nutrient requirements, improving growth performance, reducing the energy required for intestinal maintenance, reducing the energy required for weight gain, reduced morbidity, increasing growth rate, improving feed conversion, improving the average daily gain (ADG), improving the efficiency of nutrient utilization, increasing volatile fatty acid production, improving energy use from volatile fatty acids, increasing ending body weight, improved intestinal health, increased relative abundance of Bifidobacterium in the intestines, or combinations thereof.

Abstract: The present invention provides feed additive composition comprising fermented yeast, sodium metabisulfite, and optionally thiamin. When a normal or basal feed is supplemented with the feed additive, improved growth, improved health, improved intestinal health, and a reduction of microbial pathogens is seen in non-human animals as compared to a control group.

Abstract: The present invention provides antimicrobial feed supplement compositions comprising clay, and methods of treating microbial infections in an animal using the antimicrobial compositions.

Abstract: Methods and apparatuses for automatically identifying sleep apnea in a subject based on load cell signal data obtained from load cells coupled with one or more supports of a bed are disclosed. In one example approach, a method comprises continuously collecting load cell signal data from one or more load cells positioned below one or more supports of a bed, processing the signal data to obtain processed signal data, extracting features from the processed signal data, calculating a sleep apnea severity parameter based on the extracted features via a model, and identifying sleep apnea in the subject based on the sleep apnea severity parameter.

Abstract: Embodiments provide systems, methods and apparatuses for monitoring the sleep of a subject in a home environment. In embodiments, load cells placed under bed supports may be coupled to a computing device that may process the load cell data to detect disordered breathing. In some embodiments, a computing device may apply a pattern recognition algorithm to load cell data to distinguish between normal movements and movements associated with a sleep disorder. In an embodiment, apparatuses and methods for monitoring sleep may perform functions associated with detection of sleep disturbances and/or identify a sleep disorder.

Abstract: Embodiments provide systems, methods and apparatuses for monitoring the sleep of a subject in a home environment. In embodiments, load cells placed under bed supports may be coupled to a computing device that may process the load cell data to detect disordered breathing. In some embodiments, a computing device may apply a pattern recognition algorithm to load cell data to distinguish between normal movements and movements associated with a sleep disorder. In an embodiment, apparatuses and methods for monitoring sleep may perform functions associated with detection of sleep disturbances and/or identify a sleep disorder.