Accumulating evidence has shown that soy intake is associated with the prevention of cancers. However, the specific soy compound and cancer type should be considered before allocating a precise nutrient intervention.
Epidemiological studies have shown that soy consumption is associated with lower incidence of various diseases, such as cancer. Over the past decades, soy proteins and derived peptides have been considered as potential preventive agents against the initiation, promotion and progression of cancer. Additionally, soybeans provide essential nutrients and abundant peptides and proteins with multiple bioactivities. Here, we specifically emphasise the chemoprevention property of several soy proteins/peptides, such as lectins, lunasin and protease inhibitors. Moreover, their anti-inflammatory and antioxidant properties, which have been demonstrated to be associated with chemopreventive properties, are addressed here. Furthermore, computational methods applied in this field are reviewed. Researchers navigate a large volume of data to understand the interactions among the genome, cellular molecules, dietary interventions, medical treatments and diseases. Numerous powerful tools have been recommended for designing an optimal strategy for future anti-cancer treatments with precise diagnosis and individualised approaches.
<abstract>
<p>This study considers the integration of vaccine preparation and administration decisions for seasonal influenza interventions. We examine actual vaccination activities of sharing multiple vaccine products and supplementary vaccinations. A two-stage stochastic program is formulated to determine the optimal ordering and allocation of vaccines under uncertain attack rates, vaccine efficacies, and demands. We present an algorithm based on the sample average approximation and warm-start solution to solve the stochastic integer program with continuous random variables. Furthermore, the optimal solution for the deterministic model using the expected value is analyzed and obtained directly. Our analysis compares the deterministic and stochastic solutions to assess the impact of uncertainties on the immunization outcomes and costs. The result shows that the stochastic programming model provides a more robust solution than the deterministic model, and uncertain characteristics should consider when making public health decisions.</p>
</abstract>
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.