How much of US health care spending provides direct care or benefit to patients?

Plans to optimize health care in the United States highlight the high cost but rarely explore opportunities for redirecting resources within the existing system to increase access to care while lowering spending. This analysis indicates that, of the total national health care expenditures of $3.21 trillion in 2015, only $1.4 trillion to $2.86 trillion was used to provide care to patients. This range was reached by the subtraction of excess spending in 7 categories. Thus, many opportunities exist to repurpose wasted expenditures to increase access to health care without the need for additional funding.

Predicting the composition of red wine blends using an array of multicomponent Peptide-based sensors.

Differential sensing using synthetic receptors as mimics of the mammalian senses of taste and smell is a powerful approach for the analysis of complex mixtures. Herein, we report on the effectiveness of a cross-reactive, supramolecular, peptide-based sensing array in differentiating and predicting the composition of red wine blends. Fifteen blends of Cabernet Sauvignon, Merlot and Cabernet Franc, in addition to the mono varietals, were used in this investigation. Linear Discriminant Analysis (LDA) showed a clear differentiation of blends based on tannin concentration and composition where certain mono varietals like Cabernet Sauvignon seemed to contribute less to the overall characteristics of the blend. Partial Least Squares (PLS) Regression and cross validation were used to build a predictive model for the responses of the receptors to eleven binary blends and the three mono varietals. The optimized model was later used to predict the percentage of each mono varietal in an independent test set composted of four tri-blends with a 15% average error. A partial least square regression model using the mouth-feel and taste descriptive sensory attributes of the wine blends revealed a strong correlation of the receptors to perceived astringency, which is indicative of selective binding to polyphenols in wine.