Abstract: The present disclosure relates generally to non-animal proteins and their use in various comestible products, such as food products, beverage products, and nutritional products, including meat and dairy analogue products. In some embodiments, the non-animal proteins include fava bean protein, mung bean protein, lentil protein, or combinations thereof. In some embodiments, the non-animal proteins are combined with other non-animal proteins, such as soy protein or pea protein, to compliment the amino acid profile of the resulting blend. In some embodiments. The non-animal proteins are combined with certain fibers, which allows the blend to be suitable for addition to an ingestible composition useful for making meat or dairy analogue products. In some embodiments, flavorings or flavor-modifiers are combined with the non-animal proteins as well.

Abstract: Methods, systems, and computer-readable media are provided to detect incremental changes in clinical documents associated with a patient. A user selection is received indicating that a user wants to compare two or more clinical documents that are associated with the patient or authored by the same clinician, enabling the user to become up-to-date on the patient's care. A first clinical document and a second clinical document are identified. For the first clinical document and the second clinical document, differences are algorithmically determined. The first clinical document is transformed into a new representation of the first clinical document. Further, the second clinical document is transformed into a new representation of the second clinical document. One or more of the new representations of the first and the second clinical documents are displayed, assisting the user to quickly find and understand the differences between the documents.

Abstract: Methods, systems, and computer-readable media are provided to detect incremental changes in clinical documents associated with a patient. A user selection is received indicating that a user wants to compare two or more clinical documents that are associated with the patient or authored by the same clinician, enabling the user to become up-to-date on the patient's care. A first clinical document and a second clinical document are identified. For the first clinical document and the second clinical document, differences are algorithmically determined. The first clinical document is transformed into a new representation of the first clinical document. Further, the second clinical document is transformed into a new representation of the second clinical document. One or more of the new representations of the first and the second clinical documents are displayed, assisting the user to quickly find and understand the differences between the documents.